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<title>Supplementary Material</title>

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xP8uAMj/TADJ/0wAzP9MAM//TADQ/0wA0f9MANL/TABjAAUAMAAJ/3gACgAwAA0AMAAP/0AAEP+QABH/QAAS/3gAHf+oAB7/qAAiADAAI//MACT/eAAm/8wAKv/MAC3/aAAy/8wANP/MAET/jABG/4wAR/+MAEj/jABJ/+IASv94AFD/qABR/6gAUv+MAFP/qABU/4wAVf+oAFb/lgBX/9YAWP+oAFn/0ABb/8wAXP/QAF3/rgBsADAAbf+QAG//kAByADAAdAA6AHUAOgB3/6gAef+QAHsAOgB8ADAAff+QAIL/eACD/3gAhP94AIX/eACG/3gAh/94AIj/eACJ/8wAlP/MAJX/zACW/8wAl//MAJj/zACa/8wAov+MAKP/jACk/4wApf+MAKb/jACn/4wAqP+MAKn/jACq/4wAq/+MAKz/jACt/4wAsv+MALP/qAC0/4wAtf+MALb/jAC3/4wAuP+MALr/jAC7/6gAvP+oAL3/qAC+/6gAw//MAMT/jADI/5AAyf+QAMoAMADLADAAzP9AAM0AMADOADAAz/9AAND/kADR/5AA0v+QAEMABQAwAAn/ogAKADAADQAwAA//hgAQ/+AAEf+GABL/ogAiACIAJP+iAC3/mgBE/6gARv/gAEf/4ABI/+AASv+eAFL/4ABU/+AAVv/SAGwAMABt/+AAb//gAHIAMAB0ADAAdQAwAHn/4AB7ADAAfAAwAH3/4ACC/6IAg/+iAIT/ogCF/6IAhv+iAIf/ogCI/6IAov+oAKP/qACk/6gApf+oAKb/qACn/6gAqP+oAKn/4ACq/+AAq//gAKz/4ACt/+AAsv/gALT/4AC1/+AAtv/gALf/4AC4/+AAuv/gAMT/4ADI/+AAyf/gAMoAMADLADAAzP+GAM0AMADOADAAz/+GAND/4ADR/+AA0v/gAC4AEP/CACP/4gAm/+IAKv/iADL/4gA0/+IARv/cAEf/3ABI/9wASf/MAFL/3ABU/9wAV/+uAFn/vgBa/8gAXP++AG3/wgBv/8IAef/CAH3/wgCJ/+IAlP/iAJX/4gCW/+IAl//iAJj/4gCa/+IAqf/cAKr/3ACr/9wArP/cAK3/3ACy/9wAtP/cALX/3AC2/9wAt//cALj/3AC6/9wAw//iAMT/3ADI/8IAyf/CAND/wgDR/8IA0v/CAC0AEP+6ACIAIgAj/8YAJv/GACr/xgAy/8YANP/GAEb/2gBH/9oASP/aAFL/2gBU/9oAVv/kAFn/2ABc/9gAbf+6AG//ugB5/7oAff+6AIn/xgCU/8YAlf/GAJb/xgCX/8YAmP/GAJr/xgCp/9oAqv/aAKv/2gCs/9oArf/aALL/2gC0/9oAtf/aALb/2gC3/9oAuP/aALr/2gDD/8YAxP/aAMj/ugDJ/7oA0P+6ANH/ugDS/7oAEQAFAEQACgBEAA0ARAAP/34AEf9+AGwARAByAEQAdABkAHUAZAB7AGQAfABEAMoARADLAEQAzP9+AM0ARADOAEQAz/9+AAwAD/98ABH/fABE/9oAov/aAKP/2gCk/9oApf/aAKb/2gCn/9oAqP/aAMz/fADP/3wABAAP/8IAEf/CAMz/wgDP/8IAEgBG/8QAR//EAEj/xABS/8QAVP/EAKn/xACq/8QAq//EAKz/xACt/8QAsv/EALT/xAC1/8QAtv/EALf/xAC4/8QAuv/EAMT/xAAgAAn/rgAP/3wAEf98ABL/rgAk/64ARv/mAEf/5gBI/+YAUv/mAFT/5gCC/64Ag/+uAIT/rgCF/64Ahv+uAIf/rgCI/64Aqf/mAKr/5gCr/+YArP/mAK3/5gCy/+YAtP/mALX/5gC2/+YAt//mALj/5gC6/+YAxP/mAMz/fADP/3wAHwAj/9gAJv/YACr/2AAy/9gANP/YAEb/4ABH/+AASP/gAFL/4ABU/+AAif/YAJT/2ACV/9gAlv/YAJf/2ACY/9gAmv/YAKn/4ACq/+AAq//gAKz/4ACt/+AAsv/gALT/4AC1/+AAtv/gALf/4AC4/+AAuv/gAMP/2ADE/+AADwAJ/0gAEv9IACT/SAA5ADoAOgA6ADwAKAA/ADoAgv9IAIP/SACE/0gAhf9IAIb/SACH/0gAiP9IAJ8AKAAzAAX/SgAK/0oADf9KABD/zAAi/8gAI//WACb/1gAq/9YALQAyADL/1gA0/9YAN/98ADj/yAA5/3gAOv+sADz/XAA//3gAWf+uAFz/rgBs/0oAbf/MAG//zABy/0oAdP9IAHX/SAB5/8wAe/9IAHz/SgB9/8wAif/WAJT/1gCV/9YAlv/WAJf/1gCY/9YAmv/WAJv/yACc/8gAnf/IAJ7/yACf/1wAw//WAMj/zADJ/8wAyv9KAMv/SgDN/0oAzv9KAND/zADR/8wA0v/MAAoAEP9qAG3/agBv/2oAef9qAH3/agDI/2oAyf9qAND/agDR/2oA0v9qAA4ACf/IAA//zgAR/84AEv/IACT/yACC/8gAg//IAIT/yACF/8gAhv/IAIf/yACI/8gAzP/OAM//zgBhAAUAHgAJ/1wACgAeAA0AHgAP/2gAEP9gABH/aAAS/1wAHf+GAB7/hgAiACIAI/+wACT/XAAm/7AAKv+wAC3/OAAy/7AANP+wAET/gABG/2AAR/9gAEj/YABK/1QAUP+GAFH/hgBS/2AAU/+GAFT/YABV/4YAVv+AAFj/hgBZ/5wAWv+kAFv/fABc/5wAbAAeAG3/YABv/2AAcgAeAHQAMgB1ADIAd/+GAHn/YAB7ADIAfAAeAH3/YACC/1wAg/9cAIT/XACF/1wAhv9cAIf/XACI/1wAif+wAJT/sACV/7AAlv+wAJf/sACY/7AAmv+wAKL/gACj/4AApP+AAKX/gACm/4AAp/+AAKj/gACp/2AAqv9gAKv/YACs/2AArf9gALL/YACz/4YAtP9gALX/YAC2/2AAt/9gALj/YAC6/2AAu/+GALz/hgC9/4YAvv+GAMP/sADE/2AAyP9gAMn/YADKAB4AywAeAMz/aADNAB4AzgAeAM//aADQ/2AA0f9gANL/YAAiAAX/0gAJ/9YACv/SAAz/2AAN/9IAD//IABH/yAAS/9YAJP/WADf/ngA5/8wAO//iADz/sAA9/7oAP//MAED/2ABg/9gAbP/SAHL/0gB8/9IAgv/WAIP/1gCE/9YAhf/WAIb/1gCH/9YAiP/WAJ//sADK/9IAy//SAMz/yADN/9IAzv/SAM//yAAQAAX/uAAK/7gADf+4AFn/4ABa//AAXP/gAGz/uABy/7gAdP+4AHX/uAB7/7gAfP+4AMr/uADL/7gAzf+4AM7/uAATAAX/pAAK/6QADP/gAA3/pAA5/4wAOv/gAD//jABA/+AAWf/mAFv/xABc/+YAYP/gAGz/pABy/6QAfP+kAMr/pADL/6QAzf+kAM7/pABEAAn/SgAP/xwAEP9OABH/HAAS/0oAI//SACT/SgAm/9IAKv/SADL/0gA0/9IAOQAwADoAMAA8AB4APwAwAET/wABG/6QAR/+kAEj/pABS/6QAVP+kAG3/TgBv/04Aef9OAH3/TgCC/0oAg/9KAIT/SgCF/0oAhv9KAIf/SgCI/0oAif/SAJT/0gCV/9IAlv/SAJf/0gCY/9IAmv/SAJ8AHgCi/8AAo//AAKT/wACl/8AApv/AAKf/wACo/8AAqf+kAKr/pACr/6QArP+kAK3/pACy/6QAtP+kALX/pAC2/6QAt/+kALj/pAC6/6QAw//SAMT/pADI/04Ayf9OAMz/HADP/xwA0P9OANH/TgDS/04AKgAF/xwACv8cAA3/HAAQ/3gAI//IACb/yAAq/8gAMv/IADT/yAA3/0wAOf9MADr/hgA8/2gAP/9MAFn/fABa/8IAXP98AGz/HABt/3gAb/94AHL/HAB5/3gAfP8cAH3/eACJ/8gAlP/IAJX/yACW/8gAl//IAJj/yACa/8gAn/9oAMP/yADI/3gAyf94AMr/HADL/xwAzf8cAM7/HADQ/3gA0f94ANL/eAAgAAX/TgAJ/8wACv9OAA3/TgAP/3gAEf94ABL/zAAk/8wAN/9MADn/kAA6/+AAO//CADz/YAA9/9IAP/+QAGz/TgBy/04AfP9OAIL/zACD/8wAhP/MAIX/zACG/8wAh//MAIj/zACf/2AAyv9OAMv/TgDM/3gAzf9OAM7/TgDP/3gAAAABAAAACgAwAEQAAkRGTFQADmxhdG4AGgAEAAAAAP//AAEAAAAEAAAAAP//AAEAAQACbGlnYQAObGlnYQAOAAAAAQAAAAEABAAEAAAAAQAIAAEAGgABAAgAAgAGAAwA1gACAEwA1wACAE8AAQABAEk=) 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}
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font-family: 'Lato';
font-style: italic;
font-weight: 400;
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ke2C8vfjgV/Y9kkRQOJIn/xM9INZSpiBnqX0Q9GlQPpPKAyO5y+W5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W/N6l54qOynCqD3DpWQ+mpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE+7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv/8lbTIkkYpqKM9VOhp65ktYk+Q46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI+ejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5+7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu+vtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY/iOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v+6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ/qDQK+bfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam+WpHG+0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3+J1eCBay8IYZ0wQRKGAqvCuZ/UgbQPyllosq+XtfKIZOzmeJqRazpmmoP/76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t/I4Jktu0XSgifO2ozFOiwd/0SssJDn0dn4xqk4GDTTKX73/wQyBLdqgJ+Wx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy/qqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh/wkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml/R4yrzow1Q2A5G+kzo/RhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj/UMMc34IBqTKLDTp76WzL/dMjCxK7MjhiGjeYAC/kj/jY/Rde7hpSM1xChrog6yZ7OWTuD56xBJnGFE+pT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G+9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36/dBySis4m9/DR8izaLJW6bWCkVgm5T+ius3ZXq4xI+GnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te/r4dPYMCl5qtiHNTn+TPbh1jCBHH+dMJNhwNgs3nT+OhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF+uRIWyXjQMAs2chdpaKPNaB+kSezYt0+CA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6/TzoA1/ZBG9bIUVHLAbi/kdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh+epgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF+zkJHIA7PwCDk1gGVmGUZSSoPhNf+Tklauz98QofOlCIQ/tCD4dosHYPqtPCXB3agggQQIqQJsSkB+qn0rkQ1toJjON/OtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU+TQ6NIw3ej+AtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb++W6Uk4q6F7/rg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK+EfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l+wM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l+DMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg+EWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb+Mw76Qy29iQ5up/X7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa/xnsMYcIO/vEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz/Chp/Vlpj2P7jJQmQRwGnltkTV5dbF9fE3/fxoSqTROgq9wFUlbuYzYcasE0ouzBo+dDCDzxKAfhbAZYxQiHrLzV2iVexnDX/QnT1fsT/xuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR+CtGdkPwYN2o7DOw/VGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO/f9Qua+pDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD/prQ84B1pVGkIpVUAHCG+iz3Bn3qm2AVrYcYWhock4jso5+J7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk+UILT7+VoX5mdxxA5fS42gISQVi/HTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8/6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk/wdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt+Su9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ/BfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk/gc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B//lHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO+CvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd/p1gi/07h8qfwHrByuSxglc9cI4QIg2oqvC/qm0i7tjPLTgDhoWTAKDO2ONW5oe+/eKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2/j4ODUwRkqrtBBCrDsDpt8jhZdXoy/1BCqw3sSGhgGGy0a5Jw6BP/TExoCmNFYjZl248A0osgPyGEmRA+fAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd/ocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE/EZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ/Ugd/JZQK8lvAm43uDRAbyW8gZ+ZGq0EVerVGUKUSm/Idn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ+QATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm+oOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724+zUQ7+vkCpZB+pGA562hYQiDxHVWOq0oDQl/QsoiY+cuI7iWq/ZIBtHcXJ7kks+h2fCNUPA82BzjnqktNts+RLdk1VSu+tqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy/44XYXdI5noQoRcvjZ1RMPACRqYg2V1+OwOepcOknRLLFdYgTkT5UApt/JhLM3jeFYprZV+Zow2g8fP+U68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr/A1SY9dXFz4RjzoU9ExfJCmx/I9FKEGT3n2cmzl2X42L3Jh+AbQq6sA+Ss1kitoa4TAYgKHaoybHUDJ51oETdeI/9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB+Un44zExFE4vLytcu5NwpWrUxO/0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL+BDqMyaN3RJPh/anbx+Iv+qgQdAa3M9Z5JmvYlh4qop+Ho1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs+gs37sFvi0PPVvA5dnCBgILTwoKd/+DoL9F6inlM7H4rOTzD79KJgKlZO/Zgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno+gBoKVXgIL/VI8dB1O5o/R3Suez/gD7M781ShjKpIIORM/nxG+jjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4/QftDbEn+AucIr1oxrLabRj9q4ae0+fXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd+eNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz/6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT+mAUmiYbV3YQVqFVp9dorv+TsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp+xJyYLv1OsxQCZwTB4a8BZ/5EdxTBJthApqyfd9u3ifr/WILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj/qn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9+W8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4/YtowhEmTs0vrvlD/CrisnoBNDAcUi/teY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O/4DcgV/dZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk+tgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb/n7qwhvGnrHuf5bX6Vh/n3xffU3PeHdR+FA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E+YbfL0adwNtHP7dT7t7b46DVZIkzaRJOM+S6KcrzYVg+T3wSRFRQashjfU18NutrKa/7PXbtuJvpIjbgPeqd+pjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir/8tNXJ/OsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG+FZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx/GdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD/Qi/EmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4/asthNMK5UQKCOhU97oaOYNGsTah+jfCKsZnTRn5TbhFX8ghg8CBYt/BjeYYYUrtUZ5jVij/op7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM+3SW6Opll/wgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy+QbSKVJcqkia+GvDefFwMOmgnD7h81TUtMn+mRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d/QK7Cr4uoCeOQ7/8JfKT77KiDzLImESHw/0wf73QeHu74hxv7uihi4fTX+XEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo/oVH5ww5OzLFsiTPDns7fS6EURSSWd/92BxMYQ8sBaH+j+wthQPdVgDGpTfi+JQIWMD8xKqULliRH01rTeyF8x8q/GBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE+/7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV/yTDRRP8Y2ww5RO6d2D94o+6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt+kqdae76ViWe3STan69yaF9+fESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw/A1zEdjWquIsQXXGIVEH0thC5M+W9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF+RVmI8L4HUYk4x+67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8/p5qIQrEo/H+1l/0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud+tJUfdaZ4CWNijzZtlRa8+CkmO/EwHYfPZFU/hzjFWH7vnzHRMo+aF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce/+/9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs/GWJS6SwEN/ULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e+G2zor8l+YaMxSEomDdLHGcD6YVQPegTaA74H8+V4WvJkFUrjMLGLlvSZQWvi8/QA7yzQ8GPno//5SJHRP/OqKObPCo81s/+6WgLqykYpGAgQZhVDEBPXWgU/WzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M+GWn6ASobIWC+LbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg/kpf3+CnAXKiMgIE8Jk/Mhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo+RJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B+SkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE+VMd3b1fhCynD0pQNhCG6/WCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp/YbHjo++7/Wj8S4YNa+ZdqAw1hDrKWFXv9+zaXpf8ZTDSbiqsxnwN/CzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m/NCW/HILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO+5EJ7Z6bCiRoPedRZ/P0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn/LvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl+11PoFYnNv2HwAODeNRkHj+8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij+bsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur/eWHjiB7SOVdqMAVmpBvfRiebsFjger7DC+8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l+kXRZ0KLZaGsFSIdQz/HXDxf3/TE30+DgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH+RptvRMVRaahu4cySjS3P5wxAUCPkmn+rhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik/zbrTQk5KmgxCg/f45L0jywebOWUYFJQAJia7XzCV0x89rpp/f3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl+5tfUWZNwBpEPXghzbBggYCw/dhy0ntds2yeHCDKkF/YxQjNIL/F/37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD+qNOhwMlfARQUdJ2tUX+MNJqOwIciWalZsmEjt07tfa8ma4cji9sqz+Q9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe+jGDiNJQLWnfx+drTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf/bkvo8PLVBsZl152y5S8+HRDfZIMCbYZ1WDp4yrdchOJw8k6R+/2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB+M4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5/iYp3ZdrCf7fL+en+sIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv+NRiJc8JAKqqgCA/PNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN/hCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj+bYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5/zBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8/i+jHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2+JrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk+Mz7wwstg6RFZb+TZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm/7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk+9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx+whVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC+XYuqMBMUun5YezKbRKmEPwuK+CLzijPEQgfhahQswBBLfg/GBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX+RCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk/4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug/AbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM+Zu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX/pcsfwXbLze2+D+u33OGBoJyAAL3jn3RuEcdp5If8O+a4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT++tm+haBCikRUUMrMhYKZJKYoVuv/bsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV/DMUxd9uFZmBfKXMCn/SqkWJyKPnT6lq+4zBZni6fYRByJn6OK+OgPBGRAJluwGSk4wxjOOzyce/PKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO/cEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm+bddRQu5F9s0XftGEJ9JSuSk+ZachCbdU45fEqbugzTIUokwoAKvpUQF/CvLbWW5BNQFqFkJg2f30E/48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J+1pT0tLkvFVZaNzfhs/Kd3+A9YsImlO4XK4vpCo/elHQi/9gkFg07xxnuXLt21unCIpDV+bbRxb7FC6nWYTsMFF8+1LUg4JFjVt3vqbuhHmDKbgQ4e+RGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB/KVijd1ARWkFEf3yiUw1v/WaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G+ZManTqDLPjyrOse7WiiwOJCG+J0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj/6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j/N46f+S2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb/0jQbaHJ2YRK8A+ls6WMhWmpCXYG5jqapGs5/eOJErxi2/2KWVHiPellTgh/fNl/2KYPKb7DUcAg+mCOPQFCiU9Mq/WLcU1xxC8aLePFZZlE+PCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh/nFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW+oKFLvpyvTBMM69tN1Ydwv1LIEhHsC+ueVG+w+kyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw+H/AuOx+aH+tBL88H57D0MsqyiZxhOEQkF/8DR1d2hSPMj/sNOa5rxcUnBgH8ictv2J+cb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd/PjMMtQfyDNZsOPd6XcAsnBE/mRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl/XPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG/VanIvcwycVA7+BE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP/MVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX/5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c/F1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J/5wkjpkre727p5PTRX5FGrSBIfJqhJE/IS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug+oRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U/5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7/BQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN+nA7pvF78/RII5ZHA09OAiE/66MF6HQ+qVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe+hXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz+JV/4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB+K3wBP/ineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q/9uocGsx41O4IZhViw/2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY/cQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE/om7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi/caHSM3FPRGRf7dB7YC+cD2ho6oL2zGDCkjlf/DFoQVl8GS/56wur3rdV6ggtzZW60MRB3g+U1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg/gBQIZMG/YcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK/G7F3mUc3GOAKqh60zM0v34v+ELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND+/GTk6M56Ig4yMsU6LUW1EWE+fIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP/IoRIZ/F6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg/RrPD/d3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl+Mu4xf0ezqeXD2PtPDnwMPo86sbwDV+9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD/OwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d/UfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH+14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC+OA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6+vAUUBoGhY3CT2tgwehdPqU/4Q7ZLYvhRl/ogOvR9O2+wkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn/dFSWBWzQ/VYk+Gezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n/yJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET/Hh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j+DXfpi12m1RbzYLg9J2wFergEwOxFyD0/JstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT/cUP6pE/mujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB+HEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu+vqQ02+KpJBjaLt9ye1Ab+BbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC+UwkXOoAjneU/xHplMQo2cXUlrVNqJYczgYlaOEczVCs/OCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38+xsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9+b8fH6+b8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj/0Q7PFUcC8hDrxESWdfgFRm+7vvWbkEppHB4T/1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y+g3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR/Rrs/JLKXgEx+qkmeDlFOD1/yTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW+xz+5FElFxWB28VjYIGZ0Yd+5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ+lT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ+2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1+JpI9psyNYIFuJogZa0/1AhOWdlHQxdAgbwacsHqPZo8u/ngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2+RdM+MAaYaZ0Y/ADkbNCZuAyAVQa2OcXOeICmDn9Q/eFkDeFQg5MgHEDXq/tVjj+jtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2/Bc0UxvseQCO2pQ2i+Krfhu/WeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt/U0Wf+phiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7+ExseJauyqo30hs+1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j/e1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la/QCTiVelFnU6O/GCvykqS/wZJDhKN9gBtSOp/1SP5VRgJcoVj+kmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn+8p6+vBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H+gDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D/GvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P+jAgN5TB3haSifDcApp6yymEi6Ij/GsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x/pChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11/yxyw0UnGig3MFdZklN5FI/qiT65T+jOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5+bqWiAYiAv6Jsf79/VUs4cIl+n6+WOjcgB/2l5TreoAV2717JzZbQIR0W1cl/dEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW/PhoawJDrGAP0JYWHgAVUByo/bGdiv2T2EMg8gsS14/rAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq+SCcTSx5NDtbFwNlh8VhjGGDu7JG5/TAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9+ogD8Kk/W7QoRN1UWPqM4+xdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c+4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS+o3F8YVVeikw13w+OEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX++7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9/O53DYi/5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD+P8sNh6e+XYHJXT/lkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp+pT0KYV5dGtknU64JhabdqcVQbG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) 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s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td>&#160;</td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof 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t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, 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i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return 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i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case 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0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return 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e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html("&#160;"),e.text(this.options.title)
},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html("&#160;")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue(),this.handles.css("horizontal"===i?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),s=0;n>s;s+=1)this._change(null,s);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_value:function(){var e=this.options.value;return e=this._trimAlignValue(e)},_values:function(e){var t,i,s;if(arguments.length)return t=this.options.values[e],t=this._trimAlignValue(t);if(this.options.values&&this.options.values.length){for(i=this.options.values.slice(),s=0;i.length>s;s+=1)i[s]=this._trimAlignValue(i[s]);return i}return[]},_trimAlignValue:function(e){if(this._valueMin()>=e)return this._valueMin();if(e>=this._valueMax())return this._valueMax();var t=this.options.step>0?this.options.step:1,i=(e-this._valueMin())%t,s=e-i;return 2*Math.abs(i)>=t&&(s+=i>0?t:-t),parseFloat(s.toFixed(5))},_calculateNewMax:function(){var e=this.options.max,t=this._valueMin(),i=this.options.step,s=Math.floor(+(e-t).toFixed(this._precision())/i)*i;e=s+t,this.max=parseFloat(e.toFixed(this._precision()))},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshValue:function(){var t,i,s,n,a,o=this.options.range,r=this.options,h=this,l=this._animateOff?!1:r.animate,u={};this.options.values&&this.options.values.length?this.handles.each(function(s){i=100*((h.values(s)-h._valueMin())/(h._valueMax()-h._valueMin())),u["horizontal"===h.orientation?"left":"bottom"]=i+"%",e(this).stop(1,1)[l?"animate":"css"](u,r.animate),h.options.range===!0&&("horizontal"===h.orientation?(0===s&&h.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({width:i-t+"%"},{queue:!1,duration:r.animate})):(0===s&&h.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({height:i-t+"%"},{queue:!1,duration:r.animate}))),t=i}):(s=this.value(),n=this._valueMin(),a=this._valueMax(),i=a!==n?100*((s-n)/(a-n)):0,u["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](u,r.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},r.animate),"max"===o&&"horizontal"===this.orientation&&this.range[l?"animate":"css"]({width:100-i+"%"},{queue:!1,duration:r.animate}),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},r.animate),"max"===o&&"vertical"===this.orientation&&this.range[l?"animate":"css"]({height:100-i+"%"},{queue:!1,duration:r.animate}))},_handleEvents:{keydown:function(t){var i,s,n,a,o=e(t.target).data("ui-slider-handle-index");switch(t.keyCode){case e.ui.keyCode.HOME:case e.ui.keyCode.END:case e.ui.keyCode.PAGE_UP:case e.ui.keyCode.PAGE_DOWN:case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,e(t.target).addClass("ui-state-active"),i=this._start(t,o),i===!1))return}switch(a=this.options.step,s=n=this.options.values&&this.options.values.length?this.values(o):this.value(),t.keyCode){case e.ui.keyCode.HOME:n=this._valueMin();break;case e.ui.keyCode.END:n=this._valueMax();break;case e.ui.keyCode.PAGE_UP:n=this._trimAlignValue(s+(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.PAGE_DOWN:n=this._trimAlignValue(s-(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:if(s===this._valueMax())return;n=this._trimAlignValue(s+a);break;case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(s===this._valueMin())return;n=this._trimAlignValue(s-a)}this._slide(t,o,n)},keyup:function(t){var i=e(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,i),this._change(t,i),e(t.target).removeClass("ui-state-active"))}}}),e.widget("ui.spinner",{version:"1.11.4",defaultElement:"<input>",widgetEventPrefix:"spin",options:{culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var t={},i=this.element;return e.each(["min","max","step"],function(e,s){var n=i.attr(s);void 0!==n&&n.length&&(t[s]=n)}),t},_events:{keydown:function(e){this._start(e)&&this._keydown(e)&&e.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",e),void 0)},mousewheel:function(e,t){if(t){if(!this.spinning&&!this._start(e))return!1;this._spin((t>0?1:-1)*this.options.step,e),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(e)},100),e.preventDefault()}},"mousedown .ui-spinner-button":function(t){function i(){var e=this.element[0]===this.document[0].activeElement;e||(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s}))}var s;s=this.element[0]===this.document[0].activeElement?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),this._start(t)!==!1&&this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){return e(t.currentTarget).hasClass("ui-state-active")?this._start(t)===!1?!1:(this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t),void 0):void 0},"mouseleave .ui-spinner-button":"_stop"},_draw:function(){var e=this.uiSpinner=this.element.addClass("ui-spinner-input").attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml());this.element.attr("role","spinbutton"),this.buttons=e.find(".ui-spinner-button").attr("tabIndex",-1).button().removeClass("ui-corner-all"),this.buttons.height()>Math.ceil(.5*e.height())&&e.height()>0&&e.height(e.height()),this.options.disabled&&this.disable()},_keydown:function(t){var i=this.options,s=e.ui.keyCode;switch(t.keyCode){case s.UP:return this._repeat(null,1,t),!0;case s.DOWN:return this._repeat(null,-1,t),!0;case s.PAGE_UP:return this._repeat(null,i.page,t),!0;case s.PAGE_DOWN:return this._repeat(null,-i.page,t),!0}return!1},_uiSpinnerHtml:function(){return"<span class='ui-spinner ui-widget ui-widget-content ui-corner-all'></span>"},_buttonHtml:function(){return"<a class='ui-spinner-button ui-spinner-up ui-corner-tr'><span class='ui-icon "+this.options.icons.up+"'>&#9650;</span>"+"</a>"+"<a class='ui-spinner-button 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<style type="text/css">

.tocify {
width: 20%;
max-height: 90%;
overflow: auto;
margin-left: 2%;
position: fixed;
border: 1px solid #ccc;
border-radius: 6px;
}

.tocify ul, .tocify li {
list-style: none;
margin: 0;
padding: 0;
border: none;
line-height: 30px;
}

.tocify-header {
text-indent: 10px;
}

.tocify-subheader {
text-indent: 20px;
display: none;
}

.tocify-subheader li {
font-size: 12px;
}

.tocify-subheader .tocify-subheader {
text-indent: 30px;
}
.tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 40px;
}
.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 50px;
}
.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 60px;
}

.tocify .tocify-item > a, .tocify .nav-list .nav-header {
margin: 0px;
}

.tocify .tocify-item a, .tocify .list-group-item {
padding: 5px;
}
.tocify .nav-pills > li {
float: none;
}


</style>
<script>/* jquery Tocify - v1.9.1 - 2013-10-22
 * http://www.gregfranko.com/jquery.tocify.js/
 * Copyright (c) 2013 Greg Franko; Licensed MIT */

// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic.  I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
(function(tocify) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    // Calls the second IIFE and locally passes in the global jQuery, window, and document objects
    tocify(window.jQuery, window, document);

  }

  // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable.  The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set.  All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
  (function($, window, document, undefined) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    var tocClassName = "tocify",
      tocClass = "." + tocClassName,
      tocFocusClassName = "tocify-focus",
      tocHoverClassName = "tocify-hover",
      hideTocClassName = "tocify-hide",
      hideTocClass = "." + hideTocClassName,
      headerClassName = "tocify-header",
      headerClass = "." + headerClassName,
      subheaderClassName = "tocify-subheader",
      subheaderClass = "." + subheaderClassName,
      itemClassName = "tocify-item",
      itemClass = "." + itemClassName,
      extendPageClassName = "tocify-extend-page",
      extendPageClass = "." + extendPageClassName;

    // Calling the jQueryUI Widget Factory Method
    $.widget("toc.tocify", {

      //Plugin version
      version: "1.9.1",

      // These options will be used as defaults
      options: {

        // **context**: Accepts String: Any jQuery selector
        // The container element that holds all of the elements used to generate the table of contents
        context: "body",

        // **ignoreSelector**: Accepts String: Any jQuery selector
        // A selector to any element that would be matched by selectors that you wish to be ignored
        ignoreSelector: null,

        // **selectors**: Accepts an Array of Strings: Any jQuery selectors
        // The element's used to generate the table of contents.  The order is very important since it will determine the table of content's nesting structure
        selectors: "h1, h2, h3",

        // **showAndHide**: Accepts a boolean: true or false
        // Used to determine if elements should be shown and hidden
        showAndHide: true,

        // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
        // Used to display any of the table of contents nested items
        showEffect: "slideDown",

        // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the show animation
        showEffectSpeed: "medium",

        // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
        // Used to hide any of the table of contents nested items
        hideEffect: "slideUp",

        // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the hide animation
        hideEffectSpeed: "medium",

        // **smoothScroll**: Accepts a boolean: true or false
        // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
        smoothScroll: true,

        // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the smoothScroll animation
        smoothScrollSpeed: "medium",

        // **scrollTo**: Accepts Number (pixels)
        // The amount of space between the top of page and the selected table of contents item after the page has been scrolled
        scrollTo: 0,

        // **showAndHideOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be shown and hidden while scrolling
        showAndHideOnScroll: true,

        // **highlightOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
        highlightOnScroll: true,

        // **highlightOffset**: Accepts a number
        // The offset distance in pixels to trigger the next active table of contents item
        highlightOffset: 40,

        // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
        // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
        theme: "bootstrap",

        // **extendPage**: Accepts a boolean: true or false
        // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
        extendPage: true,

        // **extendPageOffset**: Accepts a number: pixels
        // How close to the bottom of the page a user must scroll before the page is extended
        extendPageOffset: 100,

        // **history**: Accepts a boolean: true or false
        // Adds a hash to the page url to maintain history
        history: true,

        // **scrollHistory**: Accepts a boolean: true or false
        // Adds a hash to the page url, to maintain history, when scrolling to a TOC item
        scrollHistory: false,

        // **hashGenerator**: How the hash value (the anchor segment of the URL, following the
        // # character) will be generated.
        //
        // "compact" (default) - #CompressesEverythingTogether
        // "pretty" - #looks-like-a-nice-url-and-is-easily-readable
        // function(text, element){} - Your own hash generation function that accepts the text as an
        // argument, and returns the hash value.
        hashGenerator: "compact",

        // **highlightDefault**: Accepts a boolean: true or false
        // Set's the first TOC item as active if no other TOC item is active.
        highlightDefault: true

      },

      // _Create
      // -------
      //      Constructs the plugin.  Only called once.
      _create: function() {

        var self = this;

        self.extendPageScroll = true;

        // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
        self.items = [];

        // Generates the HTML for the dynamic table of contents
        self._generateToc();

        // Adds CSS classes to the newly generated table of contents HTML
        self._addCSSClasses();

        self.webkit = (function() {

          for (var prop in window) {

            if (prop) {

              if (prop.toLowerCase().indexOf("webkit") !== -1) {

                return true;

              }

            }

          }

          return false;

        }());

        // Adds jQuery event handlers to the newly generated table of contents
        self._setEventHandlers();

        // Binding to the Window load event to make sure the correct scrollTop is calculated
        $(window).load(function() {

          // Sets the active TOC item
          self._setActiveElement(true);

          // Once all animations on the page are complete, this callback function will be called
          $("html, body").promise().done(function() {

            setTimeout(function() {

              self.extendPageScroll = false;

            }, 0);

          });

        });

      },

      // _generateToc
      // ------------
      //      Generates the HTML for the dynamic table of contents
      _generateToc: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
          firstElem,

          // Instantiated variable that will store the top level newly created unordered list DOM element
          ul,
          ignoreSelector = self.options.ignoreSelector;


        // Determine the element to start the toc with
        // get all the top level selectors
        firstElem = [];
        var selectors = this.options.selectors.replace(/ /g, "").split(",");
        // find the first set that have at least one non-ignored element
        for(var i = 0; i < selectors.length; i++) {
          var foundSelectors = $(this.options.context).find(selectors[i]);
          for (var s = 0; s < foundSelectors.length; s++) {
            if (!$(foundSelectors[s]).is(ignoreSelector)) {
              firstElem = foundSelectors;
              break;
            }
          }
          if (firstElem.length> 0)
            break;
        }

        if (!firstElem.length) {

          self.element.addClass(hideTocClassName);

          return;

        }

        self.element.addClass(tocClassName);

        // Loops through each top level selector
        firstElem.each(function(index) {

          //If the element matches the ignoreSelector then we skip it
          if ($(this).is(ignoreSelector)) {
            return;
          }

          // Creates an unordered list HTML element and adds a dynamic ID and standard class name
          ul = $("<ul/>", {
            "id": headerClassName + index,
            "class": headerClassName
          }).

          // Appends a top level list item HTML element to the previously created HTML header
          append(self._nestElements($(this), index));

          // Add the created unordered list element to the HTML element calling the plugin
          self.element.append(ul);

          // Finds all of the HTML tags between the header and subheader elements
          $(this).nextUntil(this.nodeName.toLowerCase()).each(function() {

            // If there are no nested subheader elemements
            if ($(this).find(self.options.selectors).length === 0) {

              // Loops through all of the subheader elements
              $(this).filter(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

            // If there are nested subheader elements
            else {

              // Loops through all of the subheader elements
              $(this).find(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

          });

        });

      },

      _setActiveElement: function(pageload) {

        var self = this,

          hash = window.location.hash.substring(1),

          elem = self.element.find('li[data-unique="' + hash + '"]');

        if (hash.length) {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          elem.addClass(self.focusClass);

          // Triggers the click event on the currently focused TOC item
          elem.click();

        } else {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          if (!hash.length && pageload && self.options.highlightDefault) {

            // Highlights the first TOC item if no other items are highlighted
            self.element.find(itemClass).first().addClass(self.focusClass);

          }

        }

        return self;

      },

      // _nestElements
      // -------------
      //      Helps create the table of contents list by appending nested list items
      _nestElements: function(self, index) {

        var arr, item, hashValue;

        arr = $.grep(this.items, function(item) {

          return item === self.text();

        });

        // If there is already a duplicate TOC item
        if (arr.length) {

          // Adds the current TOC item text and index (for slight randomization) to the internal array
          this.items.push(self.text() + index);

        }

        // If there not a duplicate TOC item
        else {

          // Adds the current TOC item text to the internal array
          this.items.push(self.text());

        }

        hashValue = this._generateHashValue(arr, self, index);

        // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
        item = $("<li/>", {

          // Sets a common class name to the list item
          "class": itemClassName,

          "data-unique": hashValue

        });

        if (this.options.theme !== "bootstrap3") {

          item.append($("<a/>", {

            "html": self.html()

          }));

        } else {

          item.html(self.html());

        }

        // Adds an HTML anchor tag before the currently traversed HTML element
        self.before($("<div/>", {

          // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
          "name": hashValue,

          "data-unique": hashValue

        }));

        return item;

      },

      // _generateHashValue
      // ------------------
      //      Generates the hash value that will be used to refer to each item.
      _generateHashValue: function(arr, self, index) {

        var hashValue = "",
          hashGeneratorOption = this.options.hashGenerator;

        if (hashGeneratorOption === "pretty") {

          // prettify the text
          hashValue = self.text().toLowerCase().replace(/\s/g, "-");

          // fix double hyphens
          while (hashValue.indexOf("--") > -1) {
            hashValue = hashValue.replace(/--/g, "-");
          }

          // fix colon-space instances
          while (hashValue.indexOf(":-") > -1) {
            hashValue = hashValue.replace(/:-/g, "-");
          }

        } else if (typeof hashGeneratorOption === "function") {

          // call the function
          hashValue = hashGeneratorOption(self.text(), self);

        } else {

          // compact - the default
          hashValue = self.text().replace(/\s/g, "");

        }

        // add the index if we need to
        if (arr.length) {
          hashValue += "" + index;
        }

        // return the value
        return hashValue;

      },

      // _appendElements
      // ---------------
      //      Helps create the table of contents list by appending subheader elements

      _appendSubheaders: function(self, ul) {

        // The current element index
        var index = $(this).index(self.options.selectors),

          // Finds the previous header DOM element
          previousHeader = $(self.options.selectors).eq(index - 1),

          currentTagName = +$(this).prop("tagName").charAt(1),

          previousTagName = +previousHeader.prop("tagName").charAt(1),

          lastSubheader;

        // If the current header DOM element is smaller than the previous header DOM element or the first subheader
        if (currentTagName < previousTagName) {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));

        }

        // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
        else if (currentTagName === previousTagName) {

          ul.find(itemClass).last().after(self._nestElements($(this), index));

        } else {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          ul.find(itemClass).last().

          // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
          after($("<ul/>", {

            "class": subheaderClassName,

            "data-tag": currentTagName

          })).next(subheaderClass).

          // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
          append(self._nestElements($(this), index));
        }

      },

      // _setEventHandlers
      // ----------------
      //      Adds jQuery event handlers to the newly generated table of contents
      _setEventHandlers: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // Instantiates a new variable that will be used to hold a specific element's context
          $self,

          // Instantiates a new variable that will be used to determine the smoothScroll animation time duration
          duration;

        // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
        this.element.on("click.tocify", "li", function(event) {

          if (self.options.history) {

            window.location.hash = $(this).attr("data-unique");

          }

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          $(this).addClass(self.focusClass);

          // If the showAndHide option is true
          if (self.options.showAndHide) {

            var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');

            self._triggerShow(elem);

          }

          self._scrollTo($(this));

        });

        // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
        this.element.find("li").on({

          // Mouseenter event handler
          "mouseenter.tocify": function() {

            // Adds a hover CSS class to the current list item
            $(this).addClass(self.hoverClass);

            // Makes sure the cursor is set to the pointer icon
            $(this).css("cursor", "pointer");

          },

          // Mouseleave event handler
          "mouseleave.tocify": function() {

            if (self.options.theme !== "bootstrap") {

              // Removes the hover CSS class from the current list item
              $(this).removeClass(self.hoverClass);

            }

          }
        });

        // only attach handler if needed (expensive in IE)
        if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
          // Window scroll event handler
          $(window).on("scroll.tocify", function() {

            // Once all animations on the page are complete, this callback function will be called
            $("html, body").promise().done(function() {

              // Local variables

              // Stores how far the user has scrolled
              var winScrollTop = $(window).scrollTop(),

                // Stores the height of the window
                winHeight = $(window).height(),

                // Stores the height of the document
                docHeight = $(document).height(),

                scrollHeight = $("body")[0].scrollHeight,

                // Instantiates a variable that will be used to hold a selected HTML element
                elem,

                lastElem,

                lastElemOffset,

                currentElem;

              if (self.options.extendPage) {

                // If the user has scrolled to the bottom of the page and the last toc item is not focused
                if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {

                  if (!$(extendPageClass).length) {

                    lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');

                    if (!lastElem.length) return;

                    // Gets the top offset of the page header that is linked to the last toc item
                    lastElemOffset = lastElem.offset().top;

                    // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
                    $(self.options.context).append($("<div/>", {

                      "class": extendPageClassName,

                      "height": Math.abs(lastElemOffset - winScrollTop) + "px",

                      "data-unique": extendPageClassName

                    }));

                    if (self.extendPageScroll) {

                      currentElem = self.element.find('li.' + self.focusClass);

                      self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));

                    }

                  }

                }

              }

              // The zero timeout ensures the following code is run after the scroll events
              setTimeout(function() {

                // _Local variables_

                // Stores the distance to the closest anchor
                var closestAnchorDistance = null,

                  // Stores the index of the closest anchor
                  closestAnchorIdx = null,

                  // Keeps a reference to all anchors
                  anchors = $(self.options.context).find("div[data-unique]"),

                  anchorText;

                // Determines the index of the closest anchor
                anchors.each(function(idx) {
                  var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
                  if (closestAnchorDistance == null || distance < closestAnchorDistance) {
                    closestAnchorDistance = distance;
                    closestAnchorIdx = idx;
                  } else {
                    return false;
                  }
                });

                anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");

                // Stores the list item HTML element that corresponds to the currently traversed anchor tag
                elem = $('li[data-unique="' + anchorText + '"]');

                // If the `highlightOnScroll` option is true and a next element is found
                if (self.options.highlightOnScroll && elem.length) {

                  // Removes highlighting from all of the list item's
                  self.element.find("." + self.focusClass).removeClass(self.focusClass);

                  // Highlights the corresponding list item
                  elem.addClass(self.focusClass);

                }

                if (self.options.scrollHistory) {

                  if (window.location.hash !== "#" + anchorText) {

                    window.location.replace("#" + anchorText);

                  }
                }

                // If the `showAndHideOnScroll` option is true
                if (self.options.showAndHideOnScroll && self.options.showAndHide) {

                  self._triggerShow(elem, true);

                }

              }, 0);

            });

          });
        }

      },

      // Show
      // ----
      //      Opens the current sub-header
      show: function(elem, scroll) {

        // Stores the plugin context in the `self` variable
        var self = this,
          element = elem;

        // If the sub-header is not already visible
        if (!elem.is(":visible")) {

          // If the current element does not have any nested subheaders, is not a header, and its parent is not visible
          if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {

            // Sets the current element to all of the subheaders within the current header
            elem = elem.parents(subheaderClass).add(elem);

          }

          // If the current element does not have any nested subheaders and is not a header
          else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {

            // Sets the current element to the closest subheader
            elem = elem.closest(subheaderClass);

          }

          //Determines what jQuery effect to use
          switch (self.options.showEffect) {

            //Uses `no effect`
            case "none":

              elem.show();

              break;

              //Uses the jQuery `show` special effect
            case "show":

              elem.show(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `slideDown` special effect
            case "slideDown":

              elem.slideDown(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `fadeIn` special effect
            case "fadeIn":

              elem.fadeIn(self.options.showEffectSpeed);

              break;

              //If none of the above options were passed, then a `jQueryUI show effect` is expected
            default:

              elem.show();

              break;

          }

        }

        // If the current subheader parent element is a header
        if (elem.parent().is(headerClass)) {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem));

        }

        // If the current subheader parent element is not a header
        else {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));

        }

        // Maintains chainablity
        return self;

      },

      // Hide
      // ----
      //      Closes the current sub-header
      hide: function(elem) {

        // Stores the plugin context in the `self` variable
        var self = this;

        //Determines what jQuery effect to use
        switch (self.options.hideEffect) {

          // Uses `no effect`
          case "none":

            elem.hide();

            break;

            // Uses the jQuery `hide` special effect
          case "hide":

            elem.hide(self.options.hideEffectSpeed);

            break;

            // Uses the jQuery `slideUp` special effect
          case "slideUp":

            elem.slideUp(self.options.hideEffectSpeed);

            break;

            // Uses the jQuery `fadeOut` special effect
          case "fadeOut":

            elem.fadeOut(self.options.hideEffectSpeed);

            break;

            // If none of the above options were passed, then a `jqueryUI hide effect` is expected
          default:

            elem.hide();

            break;

        }

        // Maintains chainablity
        return self;
      },

      // _triggerShow
      // ------------
      //      Determines what elements get shown on scroll and click
      _triggerShow: function(elem, scroll) {

        var self = this;

        // If the current element's parent is a header element or the next element is a nested subheader element
        if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) {

          // Shows the next sub-header element
          self.show(elem.next(subheaderClass), scroll);

        }

        // If the current element's parent is a subheader element
        else if (elem.parent().is(subheaderClass)) {

          // Shows the parent sub-header element
          self.show(elem.parent(), scroll);

        }

        // Maintains chainability
        return self;

      },

      // _addCSSClasses
      // --------------
      //      Adds CSS classes to the newly generated table of contents HTML
      _addCSSClasses: function() {

        // If the user wants a jqueryUI theme
        if (this.options.theme === "jqueryui") {

          this.focusClass = "ui-state-default";

          this.hoverClass = "ui-state-hover";

          //Adds the default styling to the dropdown list
          this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content");

        }

        // If the user wants a twitterBootstrap theme
        else if (this.options.theme === "bootstrap") {

          this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list");

          this.focusClass = "active";

        }

        // If the user wants a twitterBootstrap theme
        else if (this.options.theme === "bootstrap3") {

          this.element.find(headerClass + "," + subheaderClass).addClass("list-group");

          this.element.find(itemClass).addClass("list-group-item");

          this.focusClass = "active";

        }

        // If a user does not want a prebuilt theme
        else {

          // Adds more neutral classes (instead of jqueryui)

          this.focusClass = tocFocusClassName;

          this.hoverClass = tocHoverClassName;

        }

        //Maintains chainability
        return this;

      },

      // setOption
      // ---------
      //      Sets a single Tocify option after the plugin is invoked
      setOption: function() {

        // Calls the jQueryUI Widget Factory setOption method
        $.Widget.prototype._setOption.apply(this, arguments);

      },

      // setOptions
      // ----------
      //      Sets a single or multiple Tocify options after the plugin is invoked
      setOptions: function() {

        // Calls the jQueryUI Widget Factory setOptions method
        $.Widget.prototype._setOptions.apply(this, arguments);

      },

      // _scrollTo
      // ---------
      //      Scrolls to a specific element
      _scrollTo: function(elem) {

        var self = this,
          duration = self.options.smoothScroll || 0,
          scrollTo = self.options.scrollTo,
          currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]');

        if (!currentDiv.length) {

          return self;

        }

        // Once all animations on the page are complete, this callback function will be called
        $("html, body").promise().done(function() {

          // Animates the html and body element scrolltops
          $("html, body").animate({

            // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag
            "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px"

          }, {

            // Sets the smoothScroll animation time duration to the smoothScrollSpeed option
            "duration": duration

          });

        });

        // Maintains chainability
        return self;

      }

    });

  })); //end of plugin
</script>
<script>

/**
 * jQuery Plugin: Sticky Tabs
 *
 * @author Aidan Lister <aidan@php.net>
 * adapted by Ruben Arslan to activate parent tabs too
 * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
 */
(function($) {
  "use strict";
  $.fn.rmarkdownStickyTabs = function() {
    var context = this;
    // Show the tab corresponding with the hash in the URL, or the first tab
    var showStuffFromHash = function() {
      var hash = window.location.hash;
      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
      var $selector = $(selector, context);
      if($selector.data('toggle') === "tab") {
        $selector.tab('show');
        // walk up the ancestors of this element, show any hidden tabs
        $selector.parents('.section.tabset').each(function(i, elm) {
          var link = $('a[href="#' + $(elm).attr('id') + '"]');
          if(link.data('toggle') === "tab") {
            link.tab("show");
          }
        });
      }
    };


    // Set the correct tab when the page loads
    showStuffFromHash(context);

    // Set the correct tab when a user uses their back/forward button
    $(window).on('hashchange', function() {
      showStuffFromHash(context);
    });

    // Change the URL when tabs are clicked
    $('a', context).on('click', function(e) {
      history.pushState(null, null, this.href);
      showStuffFromHash(context);
    });

    return this;
  };
}(jQuery));

window.buildTabsets = function(tocID) {

  // build a tabset from a section div with the .tabset class
  function buildTabset(tabset) {

    // check for fade and pills options
    var fade = tabset.hasClass("tabset-fade");
    var pills = tabset.hasClass("tabset-pills");
    var navClass = pills ? "nav-pills" : "nav-tabs";

    // determine the heading level of the tabset and tabs
    var match = tabset.attr('class').match(/level(\d) /);
    if (match === null)
      return;
    var tabsetLevel = Number(match[1]);
    var tabLevel = tabsetLevel + 1;

    // find all subheadings immediately below
    var tabs = tabset.find("div.section.level" + tabLevel);
    if (!tabs.length)
      return;

    // create tablist and tab-content elements
    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
    $(tabs[0]).before(tabList);
    var tabContent = $('<div class="tab-content"></div>');
    $(tabs[0]).before(tabContent);

    // build the tabset
    var activeTab = 0;
    tabs.each(function(i) {

      // get the tab div
      var tab = $(tabs[i]);

      // get the id then sanitize it for use with bootstrap tabs
      var id = tab.attr('id');

      // see if this is marked as the active tab
      if (tab.hasClass('active'))
        activeTab = i;

      // remove any table of contents entries associated with
      // this ID (since we'll be removing the heading element)
      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();

      // sanitize the id for use with bootstrap tabs
      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
      tab.attr('id', id);

      // get the heading element within it, grab it's text, then remove it
      var heading = tab.find('h' + tabLevel + ':first');
      var headingText = heading.html();
      heading.remove();

      // build and append the tab list item
      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
      a.attr('href', '#' + id);
      a.attr('aria-controls', id);
      var li = $('<li role="presentation"></li>');
      li.append(a);
      tabList.append(li);

      // set it's attributes
      tab.attr('role', 'tabpanel');
      tab.addClass('tab-pane');
      tab.addClass('tabbed-pane');
      if (fade)
        tab.addClass('fade');

      // move it into the tab content div
      tab.detach().appendTo(tabContent);
    });

    // set active tab
    $(tabList.children('li')[activeTab]).addClass('active');
    var active = $(tabContent.children('div.section')[activeTab]);
    active.addClass('active');
    if (fade)
      active.addClass('in');

    if (tabset.hasClass("tabset-sticky"))
      tabset.rmarkdownStickyTabs();
  }

  // convert section divs with the .tabset class to tabsets
  var tabsets = $("div.section.tabset");
  tabsets.each(function(i) {
    buildTabset($(tabsets[i]));
  });
};

</script>
<script>
window.initializeCodeFolding = function(show) {

  // handlers for show-all and hide all
  $("#rmd-show-all-code").click(function() {
    $('div.r-code-collapse').each(function() {
      $(this).collapse('show');
    });
  });
  $("#rmd-hide-all-code").click(function() {
    $('div.r-code-collapse').each(function() {
      $(this).collapse('hide');
    });
  });

  // index for unique code element ids
  var currentIndex = 1;

  // select all R code blocks
  var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan, pre.julia');
  rCodeBlocks.each(function() {

    // create a collapsable div to wrap the code in
    var div = $('<div class="collapse r-code-collapse"></div>');
    if (show || $(this)[0].classList.contains('fold-show'))
      div.addClass('in');
    var id = 'rcode-643E0F36' + currentIndex++;
    div.attr('id', id);
    $(this).before(div);
    $(this).detach().appendTo(div);

    // add a show code button right above
    var showCodeText = $('<span>' + (show ? 'Hide' : 'Code') + '</span>');
    var showCodeButton = $('<button type="button" class="btn btn-default btn-xs code-folding-btn pull-right"></button>');
    showCodeButton.append(showCodeText);
    showCodeButton
        .attr('data-toggle', 'collapse')
        .attr('data-target', '#' + id)
        .attr('aria-expanded', show)
        .attr('aria-controls', id);

    var buttonRow = $('<div class="row"></div>');
    var buttonCol = $('<div class="col-md-12"></div>');

    buttonCol.append(showCodeButton);
    buttonRow.append(buttonCol);

    div.before(buttonRow);

    // update state of button on show/hide
    div.on('hidden.bs.collapse', function () {
      showCodeText.text('Code');
    });
    div.on('show.bs.collapse', function () {
      showCodeText.text('Hide');
    });
  });

}
</script>
<style type="text/css">.hljs-literal {
color: #990073;
}
.hljs-number {
color: #099;
}
.hljs-comment {
color: #998;
font-style: italic;
}
.hljs-keyword {
color: #900;
font-weight: bold;
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.hljs-string {
color: #d14;
}
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<h1 class="title toc-ignore">Supplementary Material</h1>
<h3 class="subtitle">Corpus and sample descriptives &amp; validation of translation</h3>

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<p></br></p>
<p><em>Supplementary information for “The ties that bind. Text similarities and the conditional diffusion of party policies.”</em></p>
<p><em>Version: February 2019</em></p>
<p></br></p>
<p>Although desirable, having professional human translations of each party manifesto is virtually impossible given the amount of text and the costs it would need. While machine translation is far from being perfect it is much cheaper and faster. Furthermore, it has matured to a degree that it becomes a feasible option for answering substantial research questions involving cross-country comparisons and multilingual text corpora (Lucas et al. 2015; Reber 2018; Vries, Schoonvelde, and Schumacher 2018). What is more, these studies suggest that working with translated document-feature matrices (DFM) instead of having full-text translations is sufficient for analytical purposes in most cases. As this dramatically reduces the amount of text being translated by up to 95%, it becomes all the more interesting for small-scale projects and pilot studies.</p>
<p>But even then, machine translation is a matter of available resources as service providers charge a fee based on the number of characters that are translated. Full-text translations of the entire Manifesto Corpus, for example, would easily exceed $10,000. This would expand the space for more fine-grained analyses and hopefully they become available in the near future. Given limited resources though, decisions have to be made which ultimately reduce the amount of text that needs translating – yet leaving as many options for later analyses as possible.</p>
<p>For this reason, the Supplementary Material consists of three parts:</p>
<ol style="list-style-type: decimal">
<li>In <strong>Part One</strong> we describe the Manifesto Corpus in general and lay out our decision for limiting the sample to 19 Western (European) democracies.</li>
<li>In <strong>Part Two</strong> we analyze the subcorpora language-wise in terms of linguistic features and discuss which preprocessing steps we take prior to the machine translation.</li>
<li>In <strong>Part Three</strong> we discuss our sampling and validation strategy and assess whether feature translated DFMs are sufficiently accurate to allow for cross-lingual comparisons.</li>
</ol>
<p></br></p>
<hr />
<div id="part-one-defining-the-sample" class="section level1">
<h1>Part One: Defining the sample</h1>
<hr />
<p></br></p>
<div id="country-overview" class="section level2">
<h2>Country overview</h2>
<p>The following table displays general information about the scope of the Manifesto Corpus. It shows country information, the number of manifestos, distinct parties as well as the first and last year that is covered by the Corpus. For our analysis we use the <strong>Manifesto Corpus Version 2018-2</strong>.</p>
<pre class="r"><code>###################

library(quanteda)
library(tidyverse)
library(kableExtra)
library(gridExtra)
library(reshape2)
library(car)

load(&quot;../data/corpus_quanteda.Rdata&quot;)

    #retrieve docvars of corpus as data frame
docvars_df &lt;- manifestos_complete_corpus %&gt;% docvars() %&gt;% as.data.frame


###################

## Build some basic table with info on manifesto availiability

    #summarize per country
docvars_summary &lt;- docvars_df %&gt;%
    group_by(country) %&gt;%
    summarize(
        obs = n(),
        first_year = min(elecyear),
        last_year = max(elecyear),
        no_of_parties = n_distinct(party)
    )

    #add country vars
docvars_summary &lt;- docvars_summary %&gt;%
    left_join(docvars_df, by = &quot;country&quot;) %&gt;%
    select(iso3n, country, countryname, family_of_nations, obs, no_of_parties, first_year, last_year) %&gt;%
    distinct(country, .keep_all = TRUE)

    #build table
docvars_summary %&gt;%
    kable(col.names = c(&quot;ISO3N&quot;, &quot;Country Code&quot;, &quot;Country Name&quot;, &quot;Family of Nations&quot;, &quot;Obs.&quot;, &quot;No. of Parties&quot;, &quot;First Year&quot;, &quot;Last Year&quot;)) %&gt;%
    add_header_above(c(&quot;Data Availability at Country Level&quot; = 8)) %&gt;%
    kable_styling(bootstrap_options = c(&quot;striped&quot;, &quot;hover&quot;, &quot;condensed&quot;), full_width = T)</code></pre>
<table class="table table-striped table-hover table-condensed" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="8">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Data Availability at Country Level
</div>
</th>
</tr>
<tr>
<th style="text-align:right;">
ISO3N
</th>
<th style="text-align:right;">
Country Code
</th>
<th style="text-align:left;">
Country Name
</th>
<th style="text-align:left;">
Family of Nations
</th>
<th style="text-align:right;">
Obs.
</th>
<th style="text-align:right;">
No. of Parties
</th>
<th style="text-align:right;">
First Year
</th>
<th style="text-align:right;">
Last Year
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:right;">
752
</td>
<td style="text-align:right;">
11
</td>
<td style="text-align:left;">
Sweden
</td>
<td style="text-align:left;">
Nordic
</td>
<td style="text-align:right;">
103
</td>
<td style="text-align:right;">
9
</td>
<td style="text-align:right;">
1960
</td>
<td style="text-align:right;">
2014
</td>
</tr>
<tr>
<td style="text-align:right;">
578
</td>
<td style="text-align:right;">
12
</td>
<td style="text-align:left;">
Norway
</td>
<td style="text-align:left;">
Nordic
</td>
<td style="text-align:right;">
95
</td>
<td style="text-align:right;">
8
</td>
<td style="text-align:right;">
1961
</td>
<td style="text-align:right;">
2013
</td>
</tr>
<tr>
<td style="text-align:right;">
208
</td>
<td style="text-align:right;">
13
</td>
<td style="text-align:left;">
Denmark
</td>
<td style="text-align:left;">
Nordic
</td>
<td style="text-align:right;">
175
</td>
<td style="text-align:right;">
17
</td>
<td style="text-align:right;">
1960
</td>
<td style="text-align:right;">
2011
</td>
</tr>
<tr>
<td style="text-align:right;">
246
</td>
<td style="text-align:right;">
14
</td>
<td style="text-align:left;">
Finland
</td>
<td style="text-align:left;">
Nordic
</td>
<td style="text-align:right;">
97
</td>
<td style="text-align:right;">
13
</td>
<td style="text-align:right;">
1962
</td>
<td style="text-align:right;">
2011
</td>
</tr>
<tr>
<td style="text-align:right;">
352
</td>
<td style="text-align:right;">
15
</td>
<td style="text-align:left;">
Iceland
</td>
<td style="text-align:left;">
Nordic
</td>
<td style="text-align:right;">
19
</td>
<td style="text-align:right;">
8
</td>
<td style="text-align:right;">
2003
</td>
<td style="text-align:right;">
2013
</td>
</tr>
<tr>
<td style="text-align:right;">
56
</td>
<td style="text-align:right;">
21
</td>
<td style="text-align:left;">
Belgium
</td>
<td style="text-align:left;">
Continental Western European
</td>
<td style="text-align:right;">
134
</td>
<td style="text-align:right;">
24
</td>
<td style="text-align:right;">
1961
</td>
<td style="text-align:right;">
2010
</td>
</tr>
<tr>
<td style="text-align:right;">
528
</td>
<td style="text-align:right;">
22
</td>
<td style="text-align:left;">
Netherlands
</td>
<td style="text-align:left;">
Continental Western European
</td>
<td style="text-align:right;">
130
</td>
<td style="text-align:right;">
27
</td>
<td style="text-align:right;">
1946
</td>
<td style="text-align:right;">
2017
</td>
</tr>
<tr>
<td style="text-align:right;">
442
</td>
<td style="text-align:right;">
23
</td>
<td style="text-align:left;">
Luxembourg
</td>
<td style="text-align:left;">
Continental Western European
</td>
<td style="text-align:right;">
17
</td>
<td style="text-align:right;">
6
</td>
<td style="text-align:right;">
2004
</td>
<td style="text-align:right;">
2013
</td>
</tr>
<tr>
<td style="text-align:right;">
250
</td>
<td style="text-align:right;">
31
</td>
<td style="text-align:left;">
France
</td>
<td style="text-align:left;">
Continental Western European
</td>
<td style="text-align:right;">
65
</td>
<td style="text-align:right;">
20
</td>
<td style="text-align:right;">
1958
</td>
<td style="text-align:right;">
2017
</td>
</tr>
<tr>
<td style="text-align:right;">
380
</td>
<td style="text-align:right;">
32
</td>
<td style="text-align:left;">
Italy
</td>
<td style="text-align:left;">
Continental Western European
</td>
<td style="text-align:right;">
100
</td>
<td style="text-align:right;">
38
</td>
<td style="text-align:right;">
1963
</td>
<td style="text-align:right;">
2013
</td>
</tr>
<tr>
<td style="text-align:right;">
724
</td>
<td style="text-align:right;">
33
</td>
<td style="text-align:left;">
Spain
</td>
<td style="text-align:left;">
Southern European
</td>
<td style="text-align:right;">
98
</td>
<td style="text-align:right;">
31
</td>
<td style="text-align:right;">
1977
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
300
</td>
<td style="text-align:right;">
34
</td>
<td style="text-align:left;">
Greece
</td>
<td style="text-align:left;">
Southern European
</td>
<td style="text-align:right;">
42
</td>
<td style="text-align:right;">
13
</td>
<td style="text-align:right;">
1996
</td>
<td style="text-align:right;">
2015
</td>
</tr>
<tr>
<td style="text-align:right;">
620
</td>
<td style="text-align:right;">
35
</td>
<td style="text-align:left;">
Portugal
</td>
<td style="text-align:left;">
Southern European
</td>
<td style="text-align:right;">
66
</td>
<td style="text-align:right;">
14
</td>
<td style="text-align:right;">
1975
</td>
<td style="text-align:right;">
2015
</td>
</tr>
<tr>
<td style="text-align:right;">
276
</td>
<td style="text-align:right;">
41
</td>
<td style="text-align:left;">
Germany
</td>
<td style="text-align:left;">
Continental Western European
</td>
<td style="text-align:right;">
89
</td>
<td style="text-align:right;">
19
</td>
<td style="text-align:right;">
1949
</td>
<td style="text-align:right;">
2017
</td>
</tr>
<tr>
<td style="text-align:right;">
40
</td>
<td style="text-align:right;">
42
</td>
<td style="text-align:left;">
Austria
</td>
<td style="text-align:left;">
Continental Western European
</td>
<td style="text-align:right;">
66
</td>
<td style="text-align:right;">
10
</td>
<td style="text-align:right;">
1966
</td>
<td style="text-align:right;">
2017
</td>
</tr>
<tr>
<td style="text-align:right;">
756
</td>
<td style="text-align:right;">
43
</td>
<td style="text-align:left;">
Switzerland
</td>
<td style="text-align:left;">
Continental Western European
</td>
<td style="text-align:right;">
94
</td>
<td style="text-align:right;">
17
</td>
<td style="text-align:right;">
1963
</td>
<td style="text-align:right;">
2015
</td>
</tr>
<tr>
<td style="text-align:right;">
826
</td>
<td style="text-align:right;">
51
</td>
<td style="text-align:left;">
United Kingdom
</td>
<td style="text-align:left;">
English-speaking
</td>
<td style="text-align:right;">
61
</td>
<td style="text-align:right;">
13
</td>
<td style="text-align:right;">
1964
</td>
<td style="text-align:right;">
2017
</td>
</tr>
<tr>
<td style="text-align:right;">
372
</td>
<td style="text-align:right;">
53
</td>
<td style="text-align:left;">
Ireland
</td>
<td style="text-align:left;">
English-speaking
</td>
<td style="text-align:right;">
75
</td>
<td style="text-align:right;">
15
</td>
<td style="text-align:right;">
1961
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
196
</td>
<td style="text-align:right;">
55
</td>
<td style="text-align:left;">
Cyprus
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
20
</td>
<td style="text-align:right;">
9
</td>
<td style="text-align:right;">
2006
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
840
</td>
<td style="text-align:right;">
61
</td>
<td style="text-align:left;">
United States
</td>
<td style="text-align:left;">
English-speaking
</td>
<td style="text-align:right;">
30
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
1960
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
124
</td>
<td style="text-align:right;">
62
</td>
<td style="text-align:left;">
Canada
</td>
<td style="text-align:left;">
English-speaking
</td>
<td style="text-align:right;">
53
</td>
<td style="text-align:right;">
9
</td>
<td style="text-align:right;">
1962
</td>
<td style="text-align:right;">
2015
</td>
</tr>
<tr>
<td style="text-align:right;">
36
</td>
<td style="text-align:right;">
63
</td>
<td style="text-align:left;">
Australia
</td>
<td style="text-align:left;">
English-speaking
</td>
<td style="text-align:right;">
88
</td>
<td style="text-align:right;">
11
</td>
<td style="text-align:right;">
1961
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
554
</td>
<td style="text-align:right;">
64
</td>
<td style="text-align:left;">
New Zealand
</td>
<td style="text-align:left;">
English-speaking
</td>
<td style="text-align:right;">
82
</td>
<td style="text-align:right;">
11
</td>
<td style="text-align:right;">
1960
</td>
<td style="text-align:right;">
2014
</td>
</tr>
<tr>
<td style="text-align:right;">
392
</td>
<td style="text-align:right;">
71
</td>
<td style="text-align:left;">
Japan
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
2014
</td>
<td style="text-align:right;">
2014
</td>
</tr>
<tr>
<td style="text-align:right;">
376
</td>
<td style="text-align:right;">
72
</td>
<td style="text-align:left;">
Israel
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
46
</td>
<td style="text-align:right;">
20
</td>
<td style="text-align:right;">
2003
</td>
<td style="text-align:right;">
2015
</td>
</tr>
<tr>
<td style="text-align:right;">
792
</td>
<td style="text-align:right;">
74
</td>
<td style="text-align:left;">
Turkey
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
22
</td>
<td style="text-align:right;">
7
</td>
<td style="text-align:right;">
1954
</td>
<td style="text-align:right;">
2015
</td>
</tr>
<tr>
<td style="text-align:right;">
51
</td>
<td style="text-align:right;">
76
</td>
<td style="text-align:left;">
Armenia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
6
</td>
<td style="text-align:right;">
6
</td>
<td style="text-align:right;">
2012
</td>
<td style="text-align:right;">
2012
</td>
</tr>
<tr>
<td style="text-align:right;">
70
</td>
<td style="text-align:right;">
79
</td>
<td style="text-align:left;">
Bosnia-Herzegovina
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
29
</td>
<td style="text-align:right;">
11
</td>
<td style="text-align:right;">
2002
</td>
<td style="text-align:right;">
2014
</td>
</tr>
<tr>
<td style="text-align:right;">
100
</td>
<td style="text-align:right;">
80
</td>
<td style="text-align:left;">
Bulgaria
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
18
</td>
<td style="text-align:right;">
11
</td>
<td style="text-align:right;">
2009
</td>
<td style="text-align:right;">
2017
</td>
</tr>
<tr>
<td style="text-align:right;">
191
</td>
<td style="text-align:right;">
81
</td>
<td style="text-align:left;">
Croatia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
43
</td>
<td style="text-align:right;">
23
</td>
<td style="text-align:right;">
2000
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
203
</td>
<td style="text-align:right;">
82
</td>
<td style="text-align:left;">
Czech Republic
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
31
</td>
<td style="text-align:right;">
13
</td>
<td style="text-align:right;">
2002
</td>
<td style="text-align:right;">
2017
</td>
</tr>
<tr>
<td style="text-align:right;">
233
</td>
<td style="text-align:right;">
83
</td>
<td style="text-align:left;">
Estonia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
19
</td>
<td style="text-align:right;">
8
</td>
<td style="text-align:right;">
1999
</td>
<td style="text-align:right;">
2015
</td>
</tr>
<tr>
<td style="text-align:right;">
268
</td>
<td style="text-align:right;">
84
</td>
<td style="text-align:left;">
Georgia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
15
</td>
<td style="text-align:right;">
13
</td>
<td style="text-align:right;">
1990
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
348
</td>
<td style="text-align:right;">
86
</td>
<td style="text-align:left;">
Hungary
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
21
</td>
<td style="text-align:right;">
12
</td>
<td style="text-align:right;">
1994
</td>
<td style="text-align:right;">
2014
</td>
</tr>
<tr>
<td style="text-align:right;">
428
</td>
<td style="text-align:right;">
87
</td>
<td style="text-align:left;">
Latvia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
23
</td>
<td style="text-align:right;">
14
</td>
<td style="text-align:right;">
2006
</td>
<td style="text-align:right;">
2014
</td>
</tr>
<tr>
<td style="text-align:right;">
440
</td>
<td style="text-align:right;">
88
</td>
<td style="text-align:left;">
Lithuania
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
21
</td>
<td style="text-align:right;">
14
</td>
<td style="text-align:right;">
2004
</td>
<td style="text-align:right;">
2012
</td>
</tr>
<tr>
<td style="text-align:right;">
807
</td>
<td style="text-align:right;">
89
</td>
<td style="text-align:left;">
Macedonia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
30
</td>
<td style="text-align:right;">
14
</td>
<td style="text-align:right;">
2002
</td>
<td style="text-align:right;">
2014
</td>
</tr>
<tr>
<td style="text-align:right;">
498
</td>
<td style="text-align:right;">
90
</td>
<td style="text-align:left;">
Moldova
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
5
</td>
<td style="text-align:right;">
5
</td>
<td style="text-align:right;">
2014
</td>
<td style="text-align:right;">
2014
</td>
</tr>
<tr>
<td style="text-align:right;">
499
</td>
<td style="text-align:right;">
91
</td>
<td style="text-align:left;">
Montenegro
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
31
</td>
<td style="text-align:right;">
19
</td>
<td style="text-align:right;">
2001
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
616
</td>
<td style="text-align:right;">
92
</td>
<td style="text-align:left;">
Poland
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
16
</td>
<td style="text-align:right;">
10
</td>
<td style="text-align:right;">
1991
</td>
<td style="text-align:right;">
2011
</td>
</tr>
<tr>
<td style="text-align:right;">
642
</td>
<td style="text-align:right;">
93
</td>
<td style="text-align:left;">
Romania
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
9
</td>
<td style="text-align:right;">
9
</td>
<td style="text-align:right;">
2012
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
643
</td>
<td style="text-align:right;">
94
</td>
<td style="text-align:left;">
Russia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
10
</td>
<td style="text-align:right;">
8
</td>
<td style="text-align:right;">
1993
</td>
<td style="text-align:right;">
2011
</td>
</tr>
<tr>
<td style="text-align:right;">
688
</td>
<td style="text-align:right;">
95
</td>
<td style="text-align:left;">
Serbia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
23
</td>
<td style="text-align:right;">
18
</td>
<td style="text-align:right;">
2012
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
703
</td>
<td style="text-align:right;">
96
</td>
<td style="text-align:left;">
Slovakia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
35
</td>
<td style="text-align:right;">
15
</td>
<td style="text-align:right;">
1990
</td>
<td style="text-align:right;">
2016
</td>
</tr>
<tr>
<td style="text-align:right;">
705
</td>
<td style="text-align:right;">
97
</td>
<td style="text-align:left;">
Slovenia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
23
</td>
<td style="text-align:right;">
10
</td>
<td style="text-align:right;">
2004
</td>
<td style="text-align:right;">
2011
</td>
</tr>
<tr>
<td style="text-align:right;">
484
</td>
<td style="text-align:right;">
171
</td>
<td style="text-align:left;">
Mexico
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
23
</td>
<td style="text-align:right;">
12
</td>
<td style="text-align:right;">
1982
</td>
<td style="text-align:right;">
2015
</td>
</tr>
<tr>
<td style="text-align:right;">
710
</td>
<td style="text-align:right;">
181
</td>
<td style="text-align:left;">
South Africa
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
17
</td>
<td style="text-align:right;">
6
</td>
<td style="text-align:right;">
1994
</td>
<td style="text-align:right;">
2014
</td>
</tr>
</tbody>
</table>
</div>
<div id="decision-1-defining-the-country-sample" class="section level2">
<h2>Decision 1: Defining the country sample</h2>
<p>Unfortunately, the Corpus currently does not match with the main dataset’s scope (2317 observations compared to 4388). This sets limits for our analysis. For most Eastern European countries, manifestos are available since the early 2000s, with a few exemptions starting in the mid-1990s. Excluding the Eastern and non-European countries allows for a much longer time perspective, though.</p>
<p>The analysis of party policy diffusion only recently gained momentum with a focus on established Western European democracies (Böhmelt et al. 2016; 2017). Likewise, we limit our analysis to developed democracies and highly industrialized countries that (a) have a long history of competitive and fair elections, and (b) relatively stable party systems. This allows us to look at diffusion among parties <em>and</em> changes over time. We exclude Japan because it “really is a one-off case […], since it is the only instance of a country of non-European antecedents to become an advanced capitalist democracy” (Castles 1998, 9).</p>
<p>For most Western countries, manifestos are available since the early 1960s – the Netherlands, France and Germany being the sole exceptions. In addition, Iceland, Luxembourg and Greece are ill-covered starting as late as the 2000s and mid-1990s, respectively. Studying the diffusion of party policies based on the Manifesto Project’s main dataset would allow for an even larger sample but comes at the cost of precoded data. Focusing on the textual level, we are therefore currently bound by data availability.</p>
<p>Besides, solely looking at Western countries efficaciously reduces the number of language pairs that need to be considered. Given that the more data, the better the performance, machine translation algorithms are less trained for rather uncommon languages. Because machine translation <em>per se</em> is not perfect, this would introduce noise to our data.</p>
<p>Thus said, we limit the translation to the following <strong>19 Western (European) countries</strong>.</p>
<pre class="r"><code>###################

## Simple table for country sample

    #define sample
sample_tbl &lt;- data.frame(
    family_of_nations = c(
        &quot;English-speaking&quot;,
        &quot;Nordic&quot;,
        &quot;Continental Western European&quot;,
        &quot;Southern European&quot;),
    countryname = c(
        &quot;Australia, Canada, Ireland, New Zealand, United Kingdom, United States&quot;,
        &quot;Denmark, Finland, Norway, Sweden&quot;,
        &quot;Austria, Belgium, France, Germany, Italy, Netherlands, Switzerland&quot;,
        &quot;Portugal, Spain&quot;)
)

    #build table
sample_tbl %&gt;%
    kable(col.names = c(&quot;Family of Nations&quot;, &quot;Country Names&quot;)) %&gt;%
    add_header_above(c(&quot;Country Sample&quot; = 2)) %&gt;%
    kable_styling(bootstrap_options = c(&quot;striped&quot;, &quot;hover&quot;, &quot;condensed&quot;), full_width = T)</code></pre>
<table class="table table-striped table-hover table-condensed" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="2">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Country Sample
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Family of Nations
</th>
<th style="text-align:left;">
Country Names
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
English-speaking
</td>
<td style="text-align:left;">
Australia, Canada, Ireland, New Zealand, United Kingdom, United States
</td>
</tr>
<tr>
<td style="text-align:left;">
Nordic
</td>
<td style="text-align:left;">
Denmark, Finland, Norway, Sweden
</td>
</tr>
<tr>
<td style="text-align:left;">
Continental Western European
</td>
<td style="text-align:left;">
Austria, Belgium, France, Germany, Italy, Netherlands, Switzerland
</td>
</tr>
<tr>
<td style="text-align:left;">
Southern European
</td>
<td style="text-align:left;">
Portugal, Spain
</td>
</tr>
</tbody>
</table>
<p></br></p>
</div>
<div id="availability-at-the-party-level" class="section level2 tabset tabset-pills">
<h2>Availability at the party level</h2>
<p>Beyond the general scope, availability of manifestos also differs at the party level. Unfortunately, in some instances parties are covered in principle but a manifesto is lacking in-between (e.g. the 1974 manifesto of the <em>Australian Labour Party</em> or the 1987 manifesto of the <em>Liberal Party of Australia</em>). While it does not affect the translation, we tackle this issue in the causal analysis by “copying” the previous manifesto assuming the old text is still valid.</p>
<p>The following graphs display the availability of party manifestos for each election date (shown as year-month). The colors represent the party family designated by the Manifesto Project. Parties are listed according to their Manifesto ID together with their party name, and the dot size gives information about a party’s vote share.</p>
<div id="english-speaking-family-of-nations" class="section level3">
<h3>English-speaking family of nations</h3>
<hr />
<div id="australia" class="section level4">
<h4>Australia</h4>
<pre class="r"><code>###################

## Prepare basic graphs

    #list all 19 countries included in sample to be used later on throughout the report
countries &lt;- c(
        &quot;Australia&quot;, &quot;Canada&quot;, &quot;Ireland&quot;, &quot;New Zealand&quot;, &quot;United Kingdom&quot;, &quot;United States&quot;,
        &quot;Denmark&quot;, &quot;Finland&quot;, &quot;Norway&quot;, &quot;Sweden&quot;,
        &quot;Austria&quot;, &quot;Germany&quot;, &quot;Switzerland&quot;,
        &quot;Netherlands&quot;, &quot;Belgium&quot;, &quot;France&quot;, &quot;Italy&quot;,
        &quot;Spain&quot;, &quot;Portugal&quot;)

    #reduce to 19 OECD countries
docvars_df &lt;- docvars_df %&gt;% filter(countryname %in% countries)

    #paste party code and name to be used as y-labels and elec year and month to look prettier...
docvars_df &lt;- docvars_df %&gt;%
    mutate(
        party_labeled = paste0(party, &quot;: &quot;, partyname2),
        edate_labeled = paste0(elecyear, &quot;-&quot;, elecmonth)
    )

    #define colors for each party family used in plots
parfam_colors &lt;- c(&quot;ECO&quot; = &quot;green&quot;, # greens
                    &quot;LEF&quot; = &quot;red4&quot;, # communist
                    &quot;SOC&quot; = &quot;red&quot;, # socdems
                    &quot;LIB&quot; = &quot;yellow&quot;, # liberals
                    &quot;CHR&quot; = &quot;black&quot;, # christdem
                    &quot;CON&quot; = &quot;blue&quot;, # conservative
                    &quot;NAT&quot; = &quot;brown&quot;, # nationalists
                    &quot;AGR&quot; = &quot;darkgreen&quot;, # agrarian
                    &quot;ETH&quot; = &quot;orange&quot;, # ethnic/regional
                    &quot;SIP&quot; = &quot;gray50&quot;, # special issue
                    &quot;DIV&quot; = &quot;gray70&quot;, # alliances
                    &quot;NA&quot; = &quot;gray90&quot;) # missing

## Start countries

    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Australia&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img src="data:image/png;base64,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" width="864" /></p>
</div>
<div id="canada" class="section level4">
<h4>Canada</h4>
<p><em>Note that the 2006 and 2008 elections are entirely missing.</em></p>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Canada&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="ireland" class="section level4">
<h4>Ireland</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Ireland&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="new-zealand" class="section level4">
<h4>New Zealand</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;New Zealand&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="united-kingdom" class="section level4">
<h4>United Kingdom</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;United Kingdom&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="united-states" class="section level4">
<h4>United States</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;United States&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
</div>
<div id="nordic-family-of-nations" class="section level3">
<h3>Nordic family of nations</h3>
<hr />
<div id="denmark" class="section level4">
<h4>Denmark</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Denmark&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="finland" class="section level4">
<h4>Finland</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Finland&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="norway" class="section level4">
<h4>Norway</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Norway&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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EEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkF/gT25PHlpACwCGzkIzBkoX5CJ5XjxCpoK7JP/6rPTF0JgMYPAnIHyBZlYjhevoKXA9ifnEdgzGwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF6/gRgLbnzz3Yf7F8c3CVQ/f2plMzr34QXbfnUmeXE7N+6ubk7/7ZX4jE9jxb749mXz9B5Xu/pA//p3idsp+9dNX0offXgStCAIbOQjMGShfkInlePEKbiSw+5PJq/kXD3ZyUZXOmpz799OWwKr7J9/Nl/6kuvl8pr9UYC9eLm4XG2zH77ceTwX299mNzJVzoFVBYCMHgTkD5QsysRwvXsGNBJa654X8izuTc2/nenn+X9Ltp1dKr1W7ENP7s22mL94vxJPa7nx68/ifJ/mzU8jkXLqx9fBmubmWLv7d9HkPXykeTwWW0R/+cgG0Mghs5CAwZ6B8QSaW48UruNkxsFJRxR7E1ETnq51++a7F8tFUWIXmas+VOx6LPZCZwF6d1pSZFUteJrB6O68FWhkENnIQmDNQviATy/HiFdxMYPcLkaRmebVplXKPYimwWliZi15YsE/tvVJo96uHSw9WOlwErQwCGzkIzBkoX5CJ5XjxCm4msFQ+2cZRYZb6lI5qI2q/2oKqZZPfcz87DeNfmox6u6oCVEuXAqs37NqglUFgIweBOQPlCzKxHC9ewQ1Po9/PnFIoqBZN/eV+tUuwkUxJxUkaX//BH/OFZ6fRNwT2xR/+83/69qQSWL1LcQ60Kghs5CAwZ6B8QSaW48UruKHA7mciKXb6LW4gLRPY9NPvl2cZZifSLwrsk283l0ZgZzMIzBkoX5CJ5XjxCm4osCeXU3fVuwqXbYF1HK/6w3/KLfXqosCykzYmk+/8/T/+cX9BYKcd+GoEgY0cBOYMlC/IxHK8eAU3vRLH/uSlykDLj4F1H6/KzqMvTl5sCaw8i37aOAZWeGspqDMIbOQgMGegfEEmluPFK7ipwO5Pzn9SnjZ4pzrdPTtNo3EW4n591mGuoMauxtxQcwKbaSp9oCWwedDqYghs5CAwZ6B8QSaW48UruKnAnlx+7t+1P7fV9Tmw0jbFlTvuNM6TX9wCm7npztwxsAXQyiCwkYPAnIHyBZlYjhev4MYX892f1DJpXImjvKTGubeP/1jc/8t6l2FmrHM/zC61cbPzGFi5CzGjzJ8cMgdaGQQ2chCYM1C+IBPL8eIV3Fhg9xsnBLauhZg/VFwNqr6EYaGdBzvV7cxc8wJ78kr54Iv/nAuueXbjHGhVENjIQWDOQPmCTCzHi1dwY4G1fhtKcbH47/6xvPlJeuuF4ir12TmH5eXnUyf95jvZB8GK5RZOo88vTZ991Ln+fNkLjRdogVYEgY0cBOYMlC/IxHK8eAUtfx/YqEFgIweBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRDYyrxRxJAo/x00Bpp/A8/IxKYji/8tQWBkrCCwFXljFjOm/HfQFDjAN3BqLsSBJrYrKS9EBEZGyrgC0/636htvDLA2Gn3dcUpMp7X/Bg6lhyEmth7ZBiexUYzAijy9dqn86vOfJcnu6x+fdqP1nGZOfvujJElee3f16x0mV+cLfO/3i/ee/PZK/fWjvaTIy7+4d/pADWorB/MvsT68WWYxowrM/l/nlgXfeMN+bWS/7hhg88Z4WkvkAP+kGHBiC+ZQ70H7N80mz0BgRQ6SUkYfFevx3fdW32g9p5naBBd+v/jgLGsK7KjxEjU5SS6ua7DNBbYCftQ1b50RBTbAyshydf7GfAyZBqg2cICZbWlDEPvzhp64P3LQb2F/Wgu5wVMQWJaTg6RcOR8lu29Op49vJdmKf/mN1nNapFvJxWwb7fPrK9f2i1lUTVGnKbBSLZ/vdUtoPerBEoGdDrcUmL1sBvmrZIgaaG1kULANtN+AMIXZIM1/IINPbD1y74oie3UR2DS3TSmj1D83sj+fXkv/XH6j9ZxWjqoNmKfXZptq62QDgaX3di27HvXR3o2uBdeBGwpsoPe9/frXkjXMysigof3upUHXvQMQ+/KGn7gvcuBvYV/aPHHtJyGwbHdecuVusXKuV/jZnrblN1rPSVf+M1cd1iv5cl/d43dS0dVH0VLrvfxmsVz+aHZYrTjs1NiF+Di788dv5jptWHLmmLLL43f2kuS1Et14nYPkxqPryW5NbS15WLSqXmK6DD5rlorr6t295OV8/+KlytCH8zbb5I002PveiGlJ61gX9aWarzqsiQOOa9PR/D0z/MTWyH64of8JsPazEFi6Lr7w7sLWRetQUceN5nOaApvffjkqji3t5ps9h8VBpkKA2X/Lw2oZZyaw6nDUpVME9qiJbr7OQfLzvSa1vWSBql93CbzRLJ3pJ+nyF67nt0u/VRuks2zwRjJ938v8VVqznvnKqG/BxY7WPDmBWfP0BTb4t7AfbZG47rMQWJE5gbV2AC670bVL7em1dNPnL/XN1BSv/2V68lF+6kd64z/cm97NFZer6ijZzU5WvJs9WgssVUO61PTz3IrLdiGmX6WvdOXe9OR2Uipq9joHSXYcLt1oulFQW0tmab1EJ7zZLL1RbHUVZQ5ycy3um/zWX9dO4326/pPWoRkhTXGdKyNLZN+Cix2teabjDkPsx/OYuB9y8G9hP9oicd1nIbAiczJq7SBbdqPzmNDjfEPltX/6S2vp/ITF8kZugFxg5ZZdvjVTC6ylyy6BndzNz7Oo0IfNG/nrHBSmOky1U1IbS2bpOD43B282y2z23qxM87/NILD16pmvPPoWXOxozUNgvfv1RQ7+LexHWySu+ywEVqS9Qj5KWhJZcqP7pIaT/PSOJHn9XmNHW7ZZ09rrVsvkyz//Kl3+RmsL7MLvul6ifab7ya2ySKae1utU9smI2f9bSxYVmy/RBW81q09MKcoU214H83sQ2YW4Zj0DqPW87EJkF2JfYD/aInHdZyGwIi0ZHe3NDheturH0rLx/zT7MnO+8K91RyKQhwvJ0jeulNBoCK46UXfinhjOK1I7JPyRdHB/L00DnlFIumbgKgTWWrF599hJd8FazOYHl+I5zJhHYevWsVx59+3V0tObJCezZO4lj2PegydtwOxwCK9I0xWHSMs2yG6tPK398rXnqYrU11CCVp2vsvvbz37V2IU6nd3+Uq+PKvWXHwApiS2CN15kXWGvJ8tmNl+iCt5rVJco/sz86Rh/tLMRhT+i1ZJlRreflNPreGezna8Qc+FvYlzZPXPtJCKxIY438UdNSy290Cqx1ikd2CGrVFli6aXQps8bJnMDSe/7Lz4qzFVcJrOvMkm6BdX0irX6JLnir2bzAnl67eG9xD+KInwMb8iOVlizDkoPNO+rKaB3YEGvfZ+GDzEO+B/kgs0GsBHZy0LgI1PIbrefM0jjO1Trs1XkMrDJL/tno+UtJndwuzgZcJrAWrfMY2KO96hjYom0aL9EFbzWbF9j0YPfXtxY/7MyVOFajbEsaj6t9JQ71DaYFoinMiDnot7A/rYXc4CkIrEhtioPmtQCX32g9p5HDejdd88TD1o3D4uuZwI6Sam9jdm/mnezeXCnLBZafZFg8O/1z7izE/JHsvpLaWLIgNV6iC95qtiCw7HNhi5MHu5ivIc58XTSDWpCaPEOkKU/cN22kJcuu42DvQft34SbPQGBFqpXzYdNSy2+0ntNM9jmwN+/lF8YoP/r1+l+mX77T+BzY53vVafTFjrp0O6glsPJqio9vZfSjxovOCSx9pWy5/ONe7dfJLtJ4r/05sNmSWVov0QVvNWuIq1gmO6i2eL1Efp3K0gyw7pja/zoV6+/gIHKwQ5r/PGwntn/PDPAetP9bx69T2TL18Z36hIdLK260ntO6Esfs9L3FK2RUV+K4NK0/yFyct357tq3UuBLHhfIaGpVZ5gRWoZMr869zkPxDfuNqdc57a8kCNXuJTnizWWPOokyqt46javxCy+UZwl/630F+oWWfDOYb06FHf88gsCL1GXYNTS2/0XpOW2DTk/IqguXlOFZeC7G8fTT7yHF+cn125cLy93L9aW+pwMorHL678DoHyY3s2oXZ67Suhfju3FObv/prHt5oNtvSrMosboxOEdjKDOAv/e/gILuJLYnaEw/xnjH/Fo7+HURg8dJxiqBtFn5tWRYEtjLm//bV/w6q/0jkgfbvmXg/EgQWL0MLrL60RysIzBkoX5CJ5XjxCiKweBlaYHc7Tl5BYO5A+YJMLMeLVxCBxcuwAjtIuk7hQGDuQPmCTCzHi1cQgcXLsAK7ney+2XU/AnMGyhdkYjlevIK9BTbJ0xNiEIEKz3YQmDNQviATy/HiFewpsEmdXhiDjF7gWQ8CcwbKF2RiOV68gv0ENpnIGGzs13/mg8CcgfIFmViOF69gL4FNJhsb7MnlF8qvjt/amUxe/KDHy7e7WIHIdkFgzkD5gkwsx4tXsI/AJpPNDbY/KQX25HL+nOc+3P7122WMOGTLIDBnoHxBJpbjxSvYQ2Dz/lrDYMf7k0pg+5PzH0wf3pyc/2zrAu02NhiybRCYM1C+IBPL8eIVdBXYp69MKoE92Mm3vZ5cPvf21gXabWwwZNsgMGegfEEmluPFK7i9wBb9dZrB7kwm3/2kFNid+s+Xti0wV8cGQ7YNAnMGyhdkYjlevIKuAnv+l9P7pbj2J6/mf1a3eweBjRwE5gyUL8jEcrx4BT0FlqUU1vHNctfhgx2jg2AIbOQgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFRxfYEYn0iOwkYPAnIHyBZlYjhev4PgCYwssRhCYM1C+IBPL8eIV9P0cGAKLGwTmDJQvyMRyvHgFRxIYZyGGCwJzBsoXZGI5XryC3peSuj/3+S8+BxYlCMwZKF+QieV48Qp6X8z3PlfiCBoE5gyUL8jEcrx4Bb1/nUolsOObk+e5FmKkIDBnoHxBJpbjxSvo/Qst62NeD7kafawgMGegfEEmluPFK9hTYJXC1l58dtLGw7fS571otP2FwEYPAnMGyhdkYjlevIK9BaYSBDZyEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1ewt8AmeXpCDCJQ4dkOAnMGyhdkYjlevIL9BDZppA/HIGO//jMfBOYMlC/IxHK8eAV7CWwy0TEYAhs5CMwZKF+QieV48Qr2ENhkIVujDILARg4CcwbKF2RiOV68gtsLbNFfoxoMgY0cBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIJbC6zLX6cZ7NPvTybnXvyguHH81s5kUt3oHwQ2chCYM1C+IBPL8eIV3FZg3f5abbD3i0XOvZ3deHI5v/Hch9u9/mIhIw7ZMgjMGShfkInlePEKOgrs/uTcD6fThzcLae1Pzn+Q3Tj/2XYFFgrZYMi2QWDOQPmCTCzHi1fQT2DHNyevZn+mm17pnw92co09uVxsj/UPAhs5CMwZKF+QieV48QpuKbBl/lphsCeXy92F+5OXptM7kxfyG3eyGxZBYCMHgTkD5QsysRwvXkE/gdXJBbZfbI5N75ci6x0ENnIQmDNQviATy/HiFfQXWL7X8PhmuevwwY7RQTAENnIQmDNQviATy/HiFfQXWL7zEIGFCwJzBsoXZGI5XryC7gK7n59G3xCY0Yn0CGzkIDBnoHxBJpbjxSvoLbD7O+eyg19sgYULAnMGyhdkYjlevIKeH2SeZvsPC3EhsHBBYM5A+YJMLMeLV9BXYO9Pqo99cbuSJAoAACAASURBVBZitCAwZ6B8QSaW48Ur6Cmw4/3J89UBr+rzX3wOLEoQmDNQviATy/HiFfS8mO9+47pRXIkjWhCYM1C+IBPL8eIVdPx1Knea1z08vjl5nmshRgoCcwbKF2RiOV68gn4CKy8/nyU77PWQq9HHCgJzBsoXZGI5XryC2wusw2ArF78/aQls+vCt9KsXjba/ENjoQWDOQPmCTCzHi1ewh8DmFdYDZBAENnIQmDNQviATy/HiFewlsKmOvxDY2EFgzkD5gkwsx4tXsJ/AppXDekIMIlDh2Q4CcwbKF2RiOV68gr0FphIENnIQmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48Qr2FtgkT0+IQQQqPNtBYM5A+YJMLMeLV7CfwCaN9OEYZOzXf+aDwJyB8gWZWI4Xr2AfgU3msj3JIAhs5CAwZ6B8QSaW48Ur2ENg8/4a12AIbORs9kb6Wxrb1zf+qyRfcPx1hztQvuCzN/HoBbcW2KK+xjUYAhs5a7+R/taK1csbwoYpOIRhbRVrvTKSL6gPpOBpsRXYiBZBYCNnzTfS3+Zj8NKmvCEKVlwjlO3ALaglS/k7WANNic+cssffT7GtwLr9NaLBENjIWe+NtKCH/n8DbHkDFLT2zQCKHbihWr8BiPYNswyx1S76DWxAN3nGlgJb5q/xDIbARs5ab6QuPdgbx5bW+++n8ercvJ+1EeW/gwP8G8C84QxqgppaG2eAgbfCuQrs01cmk3M/+Ky4cfzWzmTy4gdbvXxXIysQ2S5rvJG61mw93/62vAEKdkF7wIwHXoa0b2hL7EPrrmgN7Nlwy9X5Bg2NcWP9E2A7gS331yqD3SkWeP7D7MaTy/mN5z7c5vW7KhlxyJYZRWDGQPuC1qtzr4L2DY2BW+MG+DeAecMFZj9Wd0VbWt+S2+IcBfZg59wPp9OHr0xeyG7tT85/MH14c3L+s20KdFSywZBtc/obacmKo8eb3xhoX9B6de5XUGYj1hg3wL8BzBvab+D4fAfH6OcosP3JS9kfD3ayra7iv+l22Lm3tynQUckGQ7bNqW+kpSuO7d/8trwBCj5zApP/Dp4JgdnSzLc5fQZej7eVwFb569TTOJ5cztR1p9gOS/98aYsCXZ1sMGTbjCAwY6B9QevtEc+C9g2NgVvhBvg3gHlD8z10Z3TgtXj+Anuwk+013J+8mt+6X4qsdxDYyDntjbT8bb/tm98YaF/QenXuW1BiI9YYN8C/Acwb+h03VRm4D89dYJ/sZOo6vlnuOix0ZpBtBfb02qXyq89/liS7r39c3rie3vjFvY5HTt7ZS5LqRpOTXK2//N7vt2xT5bCGrWq+7GUOkhubvuCjdKg8L1dDL+bkt1dWEE55I61622/55rfleRfcmHYGBCb/HXT+mWzV0HwP3ZkdWFBg+5PJuV9OlQR2kJQC+6hYge++l904LG5c+P3CI6mosiy4I72/WOCMCyxJLi4z2FH1reqMu8CMgfYFrbdHvAvaNzQGbowb4N8A5g3N99Cd4YHX4PkK7Ph//M7O5Ny/bwnM6ET67QR2cpCUa+WjZPfN6fTxrVxNj/byG9fzx1qPpHK4+HF2Y341n4ntUvVlb4GtE2OBlQN9vrfUnQjMtKExbgCieUNj4MY4BHa2BpYTWJZPs32IIltg2Y7CYq18cqtY6aceupEZIF+JP9pLFdF+JL8ru1FtblVJ7/lR6Y0zLbBUU8uwCMy0oTFuAKJ5Q2PgxjgEdrYGHkpgW36Qucz9yfnPNAR2mCRX7hZr5doGB40NkPzO9iOH5Uo838eXbqi911j2/yrkVj/j8TtJdbTsKLl6dy/5UbGXsWAUynicHVF7rTiidvJRklz4+LB4mbxFdvCtPCqVSunuj1oH3+YE1l728x/Vh/AaNcrh8gJFpQvlADOBldgGrljy5Xz/4qWjctvzcN5mCGwz4nTsgU8nWvNG/w56T2zdcHOa86lO9j+S0549gsByZ0mchXh44d2FzYqmwGZr9fqRauMmf9qcwH5/2JLhUXFYafdGvvhP0lsX/9f82Qe5Aw4LwmyZdFMv+/I/zgRWHnzLqQfJj+cOvrUF1l72H+qvWzXaAssr3ZsftcA2ccWSF67nt8tXrbZLZ1n9Rjrlr9EWf5dOx20EtC9ovTo3Hvh0ojVv9O+g/cTO59ZuTjsD5+r24/kJ7Phm6axcYNXnv0b/HNicwJr7BtPNjhtzj5zcKh9uu21arPfLtXqxjk/d9Ppfsq2q7BlHSSmtq/m+yOzxTIXpl1fuTU9u53ccJrvvZsfdaoEdZXekNXJCdrDuXqtSS2Dzy178uFy2VaMtsOZxvOYuxPSrFq5a8qi04435F8/zrb+uymnv+ywrAdsQjXEbFjwVaYwbgGje0Bi4Ic5+YvuGK4mb005taIwzHvh0nuPFfPfLja38T5krccwJbLZnLLVAvhJvPbJaYOURsmLlXpEOClvkz3u0l291/Ti9kS/U3CFZ2u/RXi2wUjfFA8VmW3MDseWQuWXzRw6zp7RqtAXWPIxXzXNyd2/hpaslj8rtsdl/m0FgmyKNcQMQzRsaAzfEIbCzNrCUwB7sTL772fT4/UnmrHR77HmJayG218SztfrJ//LjvWT3f5h7pCGwuS2QQie5JvIv631s5RZN7oeTW7m1fr53IzdGS4eVQg4ax8Cm0y///Kt0m+xGfbp/49DTwkZQY9mr1QLtGm2BNRXccRp9jauWLL5V1aDz54n03YW46e4bY6B9QevDBd4F7RuO/R1034XIMbD+xFPi+Qst7xeLnMv3JD4UuRp9S2BHe7vN9fLnsx125SOnbIEV+xnLcz/KJfNblQMO0jsPvvd/X7tabXRV+d7vjxpbY6XAHl8vH73R3nhqvmKV9rJ57axsu8YaAnvt3QVcW2Dlvs+FUxW9T+I4nbcZ0bzgsycw/ZM4nCdGYP2Jp2RbgS0x2OrnPPx+qq/qV4A9fCtd/kWj7S8bgR0mcyfH1yv56pHTBJY/o33yYimw6tNmN55eu/j/3bqUg8oPRS8TWCaV3dd+/rtbawhsbtmGwJo12gJrbnrOzdPCzcpfqv7oOKOesxA3RBrjBiCaNzQGbox7Fk+jt57Yc+DBTqOfLhHYliyLGAjso3l/1av12SOtsxCbqUyROqJzC+xSCbya/m96cPH/bS1TEKvz06/WB8UuFfsdTxfY/LJrbYEtF1gbNyew1MD3Oj5phsA2RBrjBiCaNzQGbox7FgXG58CWRcpf/QV2clBeOapxjnixWm88Uh+cWrjWU6WT1Bj/W9cxsEsl+eLd9P6j7/0fxSkhDQ8sHAOr3NP6bPUSgXUumx2nW3UMbLnA2rg5gU0Pdn99a/HDzghsQ6QxbgCieUNj4MY4BHa2Bh5WYAsG255kkN4CO2gcE6oukHhQnjg+e2TFlTjKdfpR8vJex1mI1at8779Pn/nov/uPuVcO66NL2Rkd5fnp8wI7ShrnBZ4isGrZHJsv26pR3Mi2r9YTWIGbF1j2ubDFa3L0FJj5ARfrk0LGP55hX9CVJ/AdtJ/YvuFy4nY0a4E5DrwOr4/A2grrwzFIX4Edtj8VlX8+q9hz2HokXflfWHItxEonB0ky+xzYl++UH6W6VL1c9szqyr/pnxc/rj5wlh9na3wOrNiPd3I7WUNg88vmnxlLZp8Dq2skb2bl19uFWOFm4iqWyQ7dLV4vsd+vUxG4qoJ9wVV/MyU2H3xXbgLfQfuJ7RsuQ24JWzmyLW7bgfv06yewaeWwnhCD9BRY43yK4mNO9eUr5h553Lga/fyVOIqvUmV0XInjUv1gse+w3PQqT/7Lfk/JwpU4yhIXb89/hKt6xbrYjfll/6GmtmoUL1Hsv1x5EkcLNzuAV5xjn1Lmtz+nY/xCy9U8gf1VK/4xrb/5YF9xG57xd3CAic0bqgvMbeC16vUWmEp6CuyolkFx+3H9K8AWHskvLZiv7bsFlkqm41qI1ZG2W7mI6s8jF9dCLE5dL66F2PgcWHat4ZffXDx8Vb1iQ2Bzy95IN+qya+jP1ZievJO9xNGpAmvh6iX/tFftm+z4lSu9BGa+tjTfXSWxO8i+oBtP5DtoP7F9w27i9rQVI9vyrBuu88xnXmBy2eJS8t7p/G1lp7+Rlv49GuSf06Y4671BAxzPsCYa81S+g/YT2zfsQvaALR3ZFtdn4O3rITCVLD09RC71h+FaWeONtHTVYb/2Nd9+2Dad5fQ3H8z3f6l8BweY2LzhIrMfq48g1sX1HXjbeghMJU+v5SdOHHTtntPK3c7fC7a9wOxX6MZbdP3+clqVW93QlGguiF4z234HB5jYvOE8sjesUzmWvP4Db1kPgcnkbnniiPgG2MGSimu9kcxXbtYrI/OCHUxTWN+Bu5DWgjDeHBlgg6T3+te6YQNqguoY2ZZnXHHtJyEwnXxenziinNv12SHtrPdGWvh71Pu9b7wysi84g04tYVYDLxB762YR2Jdn/B0cYGLzhkX++lczVHtmO57pwJuXQ2DEJuu+kcxXbtYrI/u1b421Iw2w9s1BxoKYWq0tK6gRyn7iGdQylgKbzpxjCrSjZdl0YgRGbLL2G8l+5Wa8Mhpk7Wu6Mhps7Wu6NlJfndtPbN7QmhevIAIjNtnsjWS+6rBeGY3/b8tTor/2jbe2dAdS8LQgMGKTDd9Io7/zvXnPXkEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9ewf4C0/h1YAhs7CAwZ6B8QSaW48Ur2Etgk4nOr2RGYCMHgTkD5QsysRwvXsE+AptMhAyGwEYOAnMGyhdkYjlevILbC2xeXyMrDIGNHATmDJQvyMRyvHgFtxZYl7/GNBgCGzkIzBkoX5CJ5XjxCm4rsG5/jWgwBDZyEJgzUL4gE8vx4hXcUmDL/DWewRDYyEFgzkD5gkwsx4tXcDuBLffXaAZDYCMHgTkD5QsysRwvXkEERmyCwJyB8gWZWI4Xr+BWAlvlr7EMhsBGDgJzBsoXZGI5XryC2whstb9OMdiDnfOf5V8cv7Uzmbz4weYvv6SUFYhsFwTmDJQvyMRyvHgFvQV2fHNSCOzJ5XzZ5z7c/PW7SxlxyJZBYM5A+YJMLMeLV9BbYHcmpcD2J+c/mD6sdNY/CGzkIDBnoHxBJpbjxSvoLLAHO6XAHuzk215PLp97e/MCnaVsMGTbIDBnoHxBJpbjxSvoK7Djm5P/tjgGdmfyQn7PnclLmxfoLGWDIdsGgTkD5QsysRwvXsEtBHaav1YYbH/yQnkSx/7k1fye+6XIegeBjRwE5gyUL8jEcrx4BV0Fdn9y/rNCYMc3y12H9UmJfYPARg4CcwbKF2RiOV68gp4Cyw94IbCgQWDOQPmCTCzHi1dwAIEtdcl+drxrQWBGJ9IjsJGDwJyB8gWZWI4Xr6DjSRx38vMP2QILGgTmDJQvyMRyvHgF/QT2YCd3FgILGgTmDJQvyMRyvHgF/QR2Z7bAcx9yFmK4IDBnoHxBJpbjxSs4lsCqz3/xObAoQWDOQPmCTCzHi1fQXmCnqKTcZ8iVOKIFgTkD5QsysRwvXkHzX6dymklKgR3fnDzPtRAjBYE5A+ULMrEcL15B919oWZ218ZCr0ccKAnMGyhdkYjlevILWAjtVJPVphw/fShd/0Wj7C4GNHgTmDJQvyMRyvHgFtxPYUoON5xEENnIQmDNQviATy/HiFdxSYEsMNqJGENjIQWDOQPmCTCzHi1dwW4F1GmxMiyCwkYPAnIHyBZlYjhev4NYCWzTY9NQTOIYMAhs5CMwZKF+QieV48QpuL7B5hY2sEAQ2chCYM1C+IBPL8eIV7COwaWPb6/Tz5wcOAhs5CMwZKF+QieV48Qr2Elie8d2VR6HDMx0E5gyUL8jEcrx4BfsLTCQIbOQgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNhlXYF/lsSSO/lfTm6cPlC/47E08ekEERmyy2RvJVjdf1bFFmtGyhFt3uAPlCz57E49eEIERm2zwRrL2zVdfDUa0weUJt+5wB8oXVJ844H4KBDZGnl67VH71+c+SZPf1j2cPPdq7eG/xkZN39pKkuVjF+d7v6xuHydXp9CC5sUmN+umPUn6el39xb9niJ7+9sgK2/hvJ2jdffWVMtOYVEV+5nQGgekFrPwzDs95NYSrEjYEIbIwcJKXAPiqssfte9cjJraQQWOuRp9fyGw1bFRlAYEn5+h05qlp3Zu03krVvvvrKmGjNK6O+Oh9kZaTMs57Y+g1jzLN/Tw8kxI2ICMw/JwdJqYKjZPfN6fTxrZmaDkuBtB85SC5+nN2Yd0tLYHm2F1i14beXebAzNgKz9s08z5zYF9ekGrEG4w2wMlLlmU88lB5kd7QP81dkQyICc8/n15NSYOnmVq6bdAOr1E62IZSZpP3Io71cNE+vzbbUigwgsFRTCxt60+qRZ0Jg1rwW1YQ1IG+AlZEmz3xi63fMkDzzHe0GuC333CMw76TbWFfuFiqoBXJQbvWk3vp5bpL2I4elOfKdhI/2Zhrr3IX4+Y+S3fJA1uPs0Nlr+aGzo+Tq3b3kwnvFwbXiUFenwMo7Z0uVT30537946ajcDDyct9lIAlvQTW+kMW4OagEbkqcqHGue9cRD6sGcZ4E0/yuCwM5GDi+8u7AtUwnsILk0M8nskWqzKn/aaQL7h0I02T3lga3dG/lzf1Js3ZUH17IlVgissVT51AvX89vlc6pNxFnWfCMt6MFaN32J1rx5aH/YsDz97QcL3sCCUOeZHynuX3DLPfcIbIzMCazaN5ht3bQFlj9ycqtU1pzcugWWHS5LN5hu5Psfr9ybntzO9wkezQ6uvZv+cTc7PWTJLsT0q+ZSjadmrQubLu68/NZf18r8X6SvvlrveevzehKtefPQ/rBheTZEdZ75xAO+YwbgGRCtC843XPNZCGyMzAnssNqjmOqiLan8kc0Elt9zmCmntefxqDyhsdzYy7egOgR2cnevwMyWqp96VG6Pzf7bDAJbD9ofNixPUzjWPASmVhCBnaG0V/8tt7QkVTzSENjcZk+XwK5WD7S9d9Q4hfHLP//qejIvsIXT6Kul6qcWrYsnLZ4swi7E9aD9YcPyNHf5WfPYhahWkF2IZygtgR3t5Qepiq2mlsDKRzbbAstZ2VPSzacq6VK1wB5fL+/sFthr784vNSew/CUW9yCGOYnDmjcP7Q8blid6jvVwvAFWv+o8C6T5W2a7gghsjDQFdlhuf5UnZzQkVT2ypcDKTz/XArtUMpJk97Wf/27JLsT65myp+qnln9kfHWfUcxr9WlAL2JA8feHY8Ab9N4A6j9Po18jxb3Ymk+feHgo/n7MqsI+qy3AcJk3fNB9pn4XYzCkCa35s7Kj+6Nmle9Plx8CKtJaaF9jTaxfvdXzcDIGtQzVhDcjT/eCxNe+Z++TbgMIxwakJbH+S5rkPh8LP52wK7OQguVA6ZE5gjUcKNTX+rLP0GFh2tKx9pvtR40SRafkJ6aUCay01L7Dpwe6vby1+2JlLSa1BNWINxjMnGuIG4Q1hRFGe/Xt6qIE3QQ4msAc7k3/z2UDsrpxNgR0sXB2qMknzkfWuxFEKLH9afgLiYX3sKj+JoyWwoyRd+lSB5UstCCz7XNjiNTniXMx3GIE9e9dCfOYmtv4nwDA8c2Wb4bbZKB5MYPcnk1cHQnfmTArscPHKuaVJWo+k21IXTr8WYvU5sEv3pneT8nNgFz+elh8Ka+1CPLmdrBRYa6mGuIplsoNri9dLDPTrVAbxl/zqXB8oX1B9YmvhCPybYkCBnXM7/pXlLAqscZpFvUXzqLyUVOuRx42r0bevxFEvdqN9JY78F58clacWXpk2LVScK387vb38JI7mUq3zP8oLNc5vCk6D/UJLe33Jr9zOAFC+4LM38egFEdgYqc/nWyaw+Ucev5N+9fq9YoHVAruRbnFlV7IvnrZXnRhf77XMriX88pv55tRygTWXmj31T3vJ4uZhlQ3fSOr/tnz2dqjpA+ULPnsTj15wM4E9uTx5KT+78PlfVnf94a305uQ7P8iPdx3fnLz66SuTydf/m0me3GHzS7wwzRY599309qffTx958YPNKnfnTAnsjGfhZJIs4wos4F9Nb54+UL7gszfx6AU3Fti/vVm46Xzho/cnZZ7PzjdM9fT3+cmH/1MtsMUl/s1+cfu5D99vaK5vEJhb6s+ltYLAnIHyBZlYjhev4MYCS7eY/phb6YXsjjuTSbYl9fCV4naqp0xHD38524XYsUR2R0b4eo7650qG/YLA3HK38/eCITBnoHxBJpbjxSu4ucBycU33cz+lt1+oHsgslOmpPPewFFjXEi/Noyw+LYbAnHKQdJ3CgcDcgfIFmViOF6/gxgIrZVOIqT5TI/VS9kD5R5byoeVL7FeP3DHZh4jAnHK7PkWkHQTmDJQvyMRyvHgFNxbYC+WX++0df/uVnqp7F85CnF+i3vCyOV8RgY0cBOYMlC/IxHK8eAU3Pwux/HK24++LP/zn//TtSaWnSnBNLXUugcBiBYE5A+ULMrEcL17BjQVWXV7jTuGfT75dnWS4TGDLlkBgsYLAnIHyBZlYjhevYL8tsPycwsl3/v4f/7i/RGDLl0BgsYLAnIHyBZlYjhevYA+Bnf+sOkd+2jjCNSew5UsgsFhBYM5A+YJMLMeLV3BjgZWnYOQqm52RUZ6euCCwFUsgsFhBYM5A+YJMLMeLV3Dzz4EVm2D5SfAzPd1ZcgxsxRIILFYQmDNQviATy/HiFdziShz/9rPpw7cKkZU7CP/wSnlBqKW7EDuWQGCxgsCcgfIFmViOF6/gxgL7r3eKUwqLy2m8Up5g+OI/55fgWBTY8iUQWKwgMGegfEEmluPFK7j5SRzZ1ld9Bfnj33w73bJ68V/Kjzh3nEa/dAkEFisIzBkoX5CJ5XjxCm59FqJaENjIQWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIKbCUw4CGzkIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOelCItAAAIABJREFUQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48Qo6CuzBzqTOq8Vdf3grve/cix/UyyzcsXYQ2MhBYM5A+YJMLMeLV3BMgR3frG6+VCwxu+PFzzalI7CRg8CcgfIFmViOF69gf4F9M81aCz7YOd/S0pPLk6//ML3ni/dLgz15ZXLuB39M7/jNzuT8pgZDYCMHgTkD5QsysRwvXsHeAvvmN9c12LzA9mtL3Zk892HrjoevTF7YsAcCGzkIzBkoX5CJ5XjxCvYV2De/ubbB5gT2YCe3Vpbjm9kmWOOO9Otzb29WBIGNHATmDJQvyMRyvHgFewrsm99c32BzAtuvjnyl+SJ74E7jjtajawWBjRwE5gyUL8jEcrx4BUcTWLrV9Wrr4fYd9zc9CobARg4CcwbKF2RiOV68gq4Cq09CTOX05PLcTsL2Hc39iWsFgY0cBOYMlC/IxHK8eAWVBNZUFgI7a0FgzkD5gkwsx4tXcLSTOI5vsgUWKgjMGShfkInlePEKjnYaPcfAggWBOQPlCzKxHC9ewfE+yHyn8VGv+5PvfsZZiGc7CMwZKF+QieV48Qq6Xkpq2efAUl29wOfAzngQmDNQviATy/HiFRxPYI0Lb3wyyXW1P3m+vIovV+I4e0FgzkD5gkwsx4tXcESBVddCfPhWeS3E45uzayE+v9kpHAhs9CAwZ6B8QSaW48UrONLV6HOVpdtZc1ejf4ur0Z/ZIDBnoHxBJpbjxSs4psCm00+/z+8DixIE5gyUL8jEcrx4BfmNzMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4Xr6CjwJ5cfu7D+saDnUmdV1s3GwttEgQ2chCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEK9hfYG2nWWnBOYOc/azz2YGdLb9VBYCMHgTkD5QsysRwvXsHeAnvjjXUNhsBCB4E5A+ULMrEcL17BvgJ74421DYbAQgeBOQPlCzKxHC9ewZ4Ce+ON9Q2GwEIHgTkD5QsysRwvXkEERmyCwJyB8gWZWI4Xr+B4AqtPO8xMNrv5wpZNENjIQWArU7y7LYny30H1Hwk/Yz0eAiMjZaM3kv1fde2/mrPPjNgSrWh5Rl8ZefPOxs9Y2oij/0g4iYPYZIM3kv1f9YJpRys7WrJMZx7qO2j+LVTmmQKH/BkbTo3A5sNp9CTP+m8k67/pA6zPh1oTGTHtv4O2E0/tfyTDDXwGfsa2mrWCDbAbYHMgH2SePr12qfzq858lye7rH5f3Jnm+9/v5R6Yn7+wlSXWjnX/NHqoWPEiuLixwOH/fyW+vdN3dkUd7RaPk5V/cW2euYoqi/yxdpdaEF1WXZe03kvXfdPv1uW3B+XVbf+Sw30H5H4kFzxg49M/YeGYT2oxnhNsKON6lpGQEdpCUAvuoWIXvvpfdqNbouQBaj5RqmzdDmpNbpQUKSawlsKP81TcSWJJcXNdgmwtsBfyo+kZ1Zt03kvXfdPv1+bCrov7Eob+D8j+S/jxr4OA/Y+OZDWgi/6Z45gV2cpCU6+WjZPfN6fTxrUJNzbV1+5GD5OLH2Y2FFX1qtpffTO/88qPCYEtc0c5qKzTzaK98xc/31gGXlRY8e7BEYKfDTQRm/lfdfn0+8KqoL9L+O2gusLP2Iz4DP2PjmXvTEJiGwD6/npQCSzefbmR/phrK/mzYp/3Io73cCU+vFdtjjRzUTjvMVTeUwNLndGz+dWZRYI/2bmwLf0YEZlzQYeXWr+AA/9xX5z2LAhv2W9gbty3QVWB1u1dbV6NPVTaWwA6T5MrdYr1cr+tz75zcmvmp/chhuRrP9/o92pstVpotS6q8q/nij1I/vp6Z4Si5encvufBesa/w8c9Sbf74zWqn46VqF2J2qK08CnWQ3Lj7o9ahtpljykKPswNur5ULPH4nqZZOn5q+7m6GWVzyMH+husBSeKNK0f3lfP/ipaPS0ofzNlvvjWT+V11dYF0D90I6fAflhGPNMwa6/IyNf8g9aTI/kmddYBfeXdiwyDX19NrF//P6TA+NRw6KzbHiaU2BNTe4viwc9JO96qDSUf71xXul9oqjTZfmBFYeasv7HCQ/njvUNu+YkrKb1zlq3DhIfr5XYjqWLFCzF+qGN6sU3S9cz2+Xfqu2SmcZS2DD83oBO9dFWgI7gz+SfjxroMvP2Pp72A/3LAps2Gz/HZwTWLFvsD6p4cbcI/Wm2WyVX2RxlX6QZEfL0o2XG9mLFFsumanSJf/DvexoU0ZqnMRxlOy+m359Nz9ZJDs0d6988nTuBfOtoKfXkiv3pie3k1JRr/9levJR9dTqdXPdtJYsq84KdMJbVaruR6VZb0y79k1+66/rpOtv5lpP3IBozesF7FwX9SF6fAflfyT9eNZAl5+x9fewH26B1xO3NRCBzQvssNzqyFb6X76TNI505Y8sFdjiQbHymNhBKaf3CsbV9pINgZWbcIUJm0+etl7w5O7ewq7M6kZ+RuVBYarDlJB7prVkd9V5eKtK1f2o/M7M/tsMAlsX14/o8R2U/5H04yEw+29hTxwCsxJYubaeGeFq+5GGwNrbIF0Cyxk5anboKN8Cu/C79qvXbvnyz7+6nhQCmz15Wr5g80z3lkjrrb/8ZcrOmbyy/y8qt1WgC96uUnUvqhbbXgfzm5vsQlwb14/o8R2U/5H047EL0f5b2BPHLkQjgR3t7d5oP1jvWiseWbELcVFguUgWBJadOpIkF/6pYYXy3I7rs/2WzSdPyxcsH33t3WnzM2dJ5qnytXO7lHLJChUCayxZoJoFuuDtKm2B5fiO0/OjnMRhXLBzXRRcYJzEMcDPGIF1BoG1BHaYzFmo3s6qHtnoGFhTYM3deNn5hUm+k7IpsEwiu6/9/He3lgms+YLVlUJKgZUtuwTWWrJ8dqNAF7xdpepe/pn90XFGPafRr4nrSxz+Oyj/I+nLUz+NvosndhbiM3ga/bAxEdhH8/6qV+yzR1pnITbTPLH8KHPDcoGldvkv2WnqV5sCSw14KXutkzUF1qi6cgus44hXs0AXvF1lTmBPr128t7gHEYGti+tLHP47KP8j6ctTF9hZ+BzYs/dB5mFjILCTg+TC7Dy9pqYaj9QKWrj6U/OgWHkyxXKBZdDbxfl+lcAq0RSflz5NYK0Nvs5jYFmfchdi52eXywJd8HaVOYFND3Z/fWvxw85cSmo9nP3qsm/BgVduijz1S0kt8rgSR3cQ2ExgB42rQx20Ls/RfGSdK3FUZ8J3C6wyXS6NRYEdJY3zAJcKLD/JsFg8/XPuLMTyjP1L0/IsxMaSjRGaxG6BHTU2Ept//mRv8ZoccS7ma7zmsF8XmX8HrdeV9ms3jbXlWjQTpvl7ps00oDWANrTtgAis4ZbGOvzRXrYT8PH1/L7WI9kpfKuvhZhdFKNxLcQFgaWEix/n11asz+6Y7UJMN4vWE1j6ahml+KRY8Tmw8qz/xkfIqs+BzZYsR5gV6IK3q8zEVSyTHVRbvEhWoF+nYrzmsF8XDbo6tyaa4Mx5xkDzn7H5e6bJNKHVQCvaVkAENju0U5/rUGwTFac9fLzwyOPG1eibV+JonLrXuhr94i7E6pS/C+VVMsoLdByVp7Hfnt//WGT+rJHy4hvJlcaN8koc/1CVKM7uaC1ZoGYFOuGtKlX3omqut46jaqF+oeWAejBeX1rQWkQroPWPxJ5nCjT/Gdv7q4JawbKc/V9oqZLeAjuqLVXczi4XuHvlXtcj+WUH8/V9W2DZFQQXfx9YxzGw/NqE5W/e+tNeJbD8ysIvv9k6kLVCYOUVDt+tbiSNayFm1y7MrnTYuhbiu3NPbf7qr3l4s0q9jzWvOp3bIq2y0RvJ/J9u5n+VbAsOJRwrWk20BMb79b8rY/0zHsBfAX8kCCxeOk4RtE3nby/b8I00+jvfmWcvHPnvoPqPRP5nbK6vgD8SBBYvQwts8SPbWRCYM1C+IBPL8eIVRGDxMrTA7nb+XjAE5gyUL8jEcrx4BRFYvAwrsIOk6xQOBOYOlC/IxHK8eAURWLwMK7Dbye6bXfcjMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BV4Ed/+bbk8nk735Z3/GHt3Ymk3MvfjBdcc+aQWAjB4E5A+ULMrEcL15BT4E92Cl/R/bzH+a3j2+Wtycvfjadu+elTeEIbOQgMGegfEEmluPFK9hfYH9Ls9aCqZ3OZ1tWn74yeSG7/eSVybkf/HE6/eI3O5PzucGeXJ58/YfpV1+8v7nBENjIQWDOQPmCTCzHi1ewt8D+9rd1DXa/1FTqqXNvp3/sV7enD0ulze65M3nuw816ILCRg8CcgfIFmViOF69gX4H97W9rG+xOYalpJqqXsh2KM0c92MmU1rgn3VrbcBMMgY0cBOYMlC/IxHK8eAV7Cuxvf1vfYPfbW1V3morKlbbfuOeLzzZsgsBGDgJzBsoXZGI5XryCjgJ7crk45lUk3cZ6dfZYtnuxfc+mQWAjB4E5A+ULMrEcL15BR4Flh7qys+j/MZdYeSCsTLb3sH3PpkFgIweBOQPlCzKxHC9eQU+BTY8/faU+a/7J5eYORQR25oPAnIHyBZlYjhevoONJHEX+kH2YOXXX4hbY8U0EdoaDwJyB8gWZWI4Xr6DjafR1Hl6evMQxsGhBYM5A+YJMLMeLV9Dvg8yNTa78E2GLZyHOzrPPFvnuZuchIrCRg8CcgfIFmViOF6+g36WkGhtYucBWfg4sNdoLC4SVQWAjB4E5A+ULMrEcL15Bx2shzq6uUdhpf/J8ec3exStxfDLZ9HgYAhs5CMwZKF+QieV48Qo6Ciz7HFh2pcOHbxV2SjfJ6mshFpf3ra6FmC7BtRDPWhCYM1C+IBPL8eIV9LwaffE5sDTnin2Jx2/NX42+XoKr0Z+5IDBnoHxBJpbjxSvo+/vAPv1+6qavzy7Hsfjbvz79Pr8P7GwGgTkD5QsysRwvXkF+IzOxCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSvoKLAnl5/7sL7xYCe78WBnkufc333Ql47ARg4CcwbKF2RiOV68ghoCS/NqTzoCGzkIzBkoX5CJ5XjxCvYX2Fdp1lqwU2DnP8tuffH+pPHYVkFgIweBOQPlCzKxHC9ewd4C++qrdQ22QmDT45t9N8EQ2MhBYM5A+YJMLMeLV7CvwL76am2DrRLYdH/yUr8iCGzkIDBnoHxBJpbjxSvYU2BffbW+wdgCCx0E5gyUL8jEcrx4BTUEdvz+pNoU2zYIbOQgMGegfEEmluPFKzi2wKqTEJ/vex49Ahs5CMwZKF+QieV48QqqCOzcD3v1QGCjB4E5A+ULMrEcL15BjZM4jj/Z4RjYGQ8CcwbKF2RiOV68giKn0U/v9z0IhsBGDgJzBsoXZGI5XryCGh9knntwmyCwkYPAnIHyBZlYjhev4NiXkkJgUYLAnIHyBZlYjhevoIrA2IV41oPAnIHyBZlYjhevoIjAPtnhShxnPAjMGShfkInlePEKugqscen5havR80HmMx4E5gyUL8jEcrx4BUUE9ne/7OkvBDZ2EJgzUL4gE8vx4hXkNzITmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDPQmPe1ItZAO94Z+JGo/4wDFkRgxCYIzBVo65uvNWMNtODlEf+RDAB81gpu/o5BYMQmG72RzP91rr/5YPl33dg3X5uPNbB/xekAm4jyftB+E5rztnrLIDBik/XfSEOt2qQ3H4aadwDd9EZa8+aRvWlNphGsyED/SDGDKht2u7cMAiM2WfuNZLxqsweaF2whLVkmzA5eL6I1r4PZkzaHtKA1kZYs24q285rW2/Y9g8CITdZ8Iw29busNNC9ovPrt+Jtu75s+RGteF7IXbZHYGzeHtGTZVbSd17be1u8ZBEZsst4bafh1W0+geUHj1W/n3/QeyCW87YnWvG5kD1oXsSduAWlcz6Ki8cC29bZ/zyAwYhMEtj7RuF8P4hLc9khr3jLk1rRuYi9cF9G4n5qyB/+BrMtEYJvn6bVL5Vef/yxJdl//uLhx8tFekrz8Ztcj76SPVDfa+dfsod3uxwxy8tsr6X8Pk6unLfgorZHn5V/cWw1blrXeSFu/T72A5gWNV79L/qZvTVzK0xGYMW4JsQeuE2kK699wcNwQ/ypbh4nANs9BUgrso2Kdv/teduPxteLWlYVHnhaPfO/3C6STW6U2TjfMdjnKq24isCS5uMxgR9XcnVnnjbT9+9QJaF7QWGBL/6ZviVzB245ozRtgH6f8Vrb9wOICW/ojXgOKwDbNyUFSrsiPkt10e+vxrVxNqYsufDw9uZ1Lq/VIKryLH2c3FsyQmu3lN9M7v/xoKIOtdk4jj/bKdp/vLa2CwOyIxv22Ja7gxRWYMW4Z0bif0janyw9kPSYC2zCfX09KgaXKupH9mWroRrZ2L7awDtMH24882ssfeXqt2B5r5KB22mHX9plBNhdYPcimMAS2CdG437bEFTwE1pNo3A+BdcZZYH94a2cyOffiB/mNJ5ef+7C8v/jyyeVJma9/97MNyU4CO0ySK3eLFfnTa+Wa/iDdZqmcNV14JFda8dSrmShmGivNliV9er7d8/idpDpadpDcuPuj6sbjn6X3/7g8vvY4O272Wn7/UXL17l5y4UflVlPxUtnxt/xYVrGH8lL+ygetRRqIqkslsLJ8Dale5OV8/+Klo1K6h/M2W+ON1ON96gM0L2i8+l3xN30r4kreNkRr3gAH6c7wP1KMCxrjhvhX2elMV4Ed36wE9VJ2c4XAJpP6oTXjJbAL7y5siWRuqJ218EhmovxG/rSmwA4aO+u+zK1wVByJ2r2RP/rj+tBZdYQqf91HjYWOkp+kty7ebW4Tlsffii3BWmBHzUWaiCLzAptBqhe5cD2/XQ7aEnYeBLYR0bjfdsSVPATWk2jcD4F1pb/AMtust2Tqp6//MN2y+uL9wmAdAqvu+HRn8sKGNTZbvE/mBJbvG8wEkG0wpX6be+TkVqmsmSOKLDog9crrf5mefJQfR8sOtd2bpps+N7Il/8O97PBUdv/Ta8mVe9nBtkwkR8U5F6VV8k26o2Q363C3PBhXncTRXKSFmM6Vyzex5iDFVlcBK3y8KOxv/fXULH+bnv5cF6B5weVE437bEVfytiFa81YSt8GtIG6JW0407tejoQtugIHXYPYWWLG9tNai+5Pz5Y7BO5O2rxYENn2ws+Em2HgCOyy2rC6+s3A+Yf7IUoEtHhSrdsvlpzmWB8iKzbvGkq09kkfliY6FVQ6L5+UNCj02zkJsLNJCTFvlTu7uFQu3IMWLHJXbY7P/NoPANiIa99uOuJKHwHoSjfshsK70FVi1x2+NRRtOOr6ZbYKtEljjyzWLbLR0r7RX3kfVVkq+VfNRMnNN8UhDYO2NlgWB1Ztk+UZQebJ+eVLIhd/VCzV9WB2ROipUWW3SffnnX11P5gQ2W6RLqR2n0TcgjRcpt70O5rce2YW4GdG433bElTx2IfYkGvdjF2JXegpsdszq9GX3iyNfeb7INsVWCez+pgfBxhLY0V55MKrcmqk/JFY9smIX4pzAaqPljig3gspNpjQX/unetPnRsSTfX1gw82eUhnx8vXy8LbDZIm3EtCxX3vNasQ+0DWkKLHdXxyE/BLYR0bjfdsSVPATWk2jcD4F1xU9g6VbXq+17lgvs+JOzcgzssNziqk/OqDVVPbL+MbDaCgsCm2aH14ptvPJT0bXALk3rFykWzVS0+9rPfze/C3G2SBsx7SrXAan/zP7oOKOe0+g3AQYVmP1p9Na8pchtacs7GuPCnka/4kesJLAnl8+9PX/P7OmT+bMQz294Hv04Aqv3GNb7B6svZvsSW2chNtM8E/0oldPyLbA0J//lZ/kBtvaOx5qZOqoQYvrfS+WWWltgs0U6PpE2J7AuSP3n02sX7y3uQURgGxGN+21LXMHjc2A9icb94gpszM+BDSWw/GzFzZpsuHyP1NY4OUgulJsw9XZWsb+t8Uh9qsTCBZ2aB8UOGp9/ro6BtQSWvcbt9P72dltdJRXQ/5PjKjtVH6+eCaxeZPH0x3mBdUFmfx7s/vrW4ocGENgmRON+2xJX8OIKzP5SUrb97AfmUlJLs/4hsOObiwLr3IV4/M+T+SXXKbLxM7ZObY2DxtWhqmNfhXeaj6xzJY7ifPW5sxBrgVWmyy1zWB+Ryk/iqFx6a/dX5TkW1SmD9ZkbpcDqRdqIqmSXwJqQ5p8/2Vu8JgcX892AaFtve+QKnjlxK9zZEFgX0ZbWt+HguLMqsPVPo9/gGNidyfyia/TY9Anbp1qRHzavbph9huvj6izE1iPFVRJXXQsxu/7G1Wn1ObAv3yk/B1YLLCVc/Di/tmJxBCu7kX9ArLFb8rA44aLc+5durJXuyV70sEIl9SWuZoiq/uIuxBmkEld1xkjXpRv5dSrrA1WOqQ1wiMmaZ36EqRvZh9ZJtKX1bzgwboB/5K0Hdfwg853GeRn3J9/9bMVJHPsbX4hjBIE1zoXIPxk1u7rF3COPG1ejb16Jo3GuXymE9pU4ZrsQq3ME892S5UL5Ze9nAksXKTbTjsqT4W9XT7x4rxRYvUgLUT29pdcWpHqRApbrbfEgGgLbgGjcrwdx6apD/SS/7XFdyH60ro62NIOKAw9sS1sf6ngpqeZnk/czmS0X2JPLm56EOILAjmpLFbdn1xdcfCT96vVcEG2BZZccbP0+sNa1EBvHwHJ29au6ihd6t1FlWmw0lcjr+a8lK7aX/rQ3E9hskSaiyPwpkk1I/SI5bDq3gVllzTeS+d/ModdtYv863/6v+kY89XMk+uAWkX1pC0TbekYVB5zX/i/xulTPayHOrsTxSX6Ua8XnwDbfichvZPZL5+8XW/uNNOBfTBvgwAWH+MeqNU98g0lvdd4CKr6pG1AjmOl3cOs3jafAqmshPnzr1GshHt/c9Dx6BOaWhU9g51n/jWT+N9MaaL/qsARu+Td9E57WGQOLxL64JtSG1QDav2UMO/71r3Ys0+/gtu9B16vRP3zltKvRN66F2LhuxzpBYG652/l7wTZ6Iw207tDlma7chrWDAdLaX8Y76OrYrs7NgeZvQvuJDXnbvWecfx/Yp99f/fvAmkfJNjuPA4E55SDpOoVjQ4HJrzu0Cw5pB3tkf1oTaUTLo/wzHoQnXXCrtyC/kZlsltvJ7ptd9yMwV+AgchiAaQTLI/4jGQD4rBXc/B2IwIhNEJgzcPR1x6kRn/gMACl4WhAYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjheaNU+MAAAgAElEQVSvIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevoLPA/vDWzmRy7sUPltzx5PLkpWn15XMfbkJGYCMHgTkD5QsysRwvXkFXgR3fnJR5af6OFz/LbqcCO/d28RACO2NBYM5A+YJMLMeLV7C/wL6WZr0lUz19/YepqL54vzTYk1cm537wx/SO3+xMzn9WLDF5oVoYgZ2pIDBnoHxBJpbjxSvYW2Bf+9raBtsvLJXmziS30+yOh6/k4npy+dy3J6/m9yCwMxYE5gyUL8jEcrx4BfsK7GtfW9tgD3ZqJR3fzDbBGnekX2f7DlNr/e/lnQjsjAWBOQPlCzKxHC9ewZ4C+9rX1jfYfn2CxnT6RbbldadxR/FoZq07xU5EBHbGgsCcgfIFmViOF6+gn8DSra5XV9xxP9udmFmrvBuBnbEgMGegfEEmluPFK+gnsCeXqxMMO+/I9yfm1ir2LCKwMxYE5gyUL8jEcrx4BUcVWFNRM4FN97OdiAjsjAWBOQPlCzKxHC9eQb+TOI5vrrkFVjyAwM5YEJgzUL4gE8vx4hX0O41+3WNg5dcI7IwFgTkD5QsysRwvXkHHDzLfqT6jPM0U9d3PlpyFWN5AYGcsCMwZKF+QieV48Qo6Xkqq+bGv/DBX5+fAyg+BnfufEdjZCgJzBsoXZGI5XryCntdCnF1445Pikof7k+fLq/jWV+IorXV/8vUdBHamgsCcgfIFmViOF6+gp8CqayE+fKu8FuLxzdm1EJ//cNo89XB/MkFgZyoIzBkoX5CJ5XjxCrpejT7dzpq7Gv1b81ejr6z1YAeBna0gMGegfEEmluPFK+j8+8A+/f4pvw+sttYdBHa2gsCcgfIFmViOF68gv5GZ2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVdBbY8c3JS42bD9/69mQy+c4PPstvPbk8KfP17362KRmBjRwE5gyUL8jEcrx4BZ0F9mBncr520/FblbDO/TC7PRPYZPLchxuSEdjIQWDOQPmCTCzHi1ewv8C+kWbthfef+3fn3i6/TrfGzv3gj+kXf/j+ZPLqNBNYpa1PdyYvbFgDgY0cBOYMlC/IxHK8eAV7C+wb39jAYE8un/+kVtP+5PkPyi/v5NtlM4GlW2qbboIhsJGDwJyB8gWZWI4Xr2BfgX3jG5sY7P7kpdpSD3bqbbFUXdnXDYE1vlwzCGzkIDBnoHxBJpbjxSvYU2Df+MZGBttPPbWf7y7Mtroaewm/yP7TsNb9jQ+CIbCRg8CcgfIFmViOF6+gq8Ae7Jz/LHVTfhrH8c1SZLPUAjv+hGNgZy4IzBkoX5CJ5XjxCroK7E52Dn2xu7D6o5nmWYjnNz2PHoGNHATmDJQvyMRyvHgFPQV2fDPfwtrPPwpWb27dKYz1UutzYD/kc2BnLQjMGShfkInlePEKep7E8WAn3y9YHN+qt8CaAsseOP7nycK22RpBYCMHgTkD5QsysRwvXkHP0+jv1DsIX50/BnZnJrB8ufnDY6cHgY0cBOYMlC/IxHK8eAUdP8jcOMSVbYm1zkJsCWy6v/mFOBDY2EFgzkD5gkwsx4tX0PFSUvcrYxWfAGt+DmxOYKnqNj0JEYGNHQTmDJQvyMRyvHgFHQVWfQCsuqJv40ocD2+2BLbNTkQENnIQmDNQviATy/HiFfQTWONjysWVo7JrIb74L+nNP7w1mZx7tblE+tCm59EjsJGDwJyB8gWZWI4Xr6CfwBrHvB7s5BtYx+/XB8VezLbFWtdCbP3alTWCwEYOAnMGyhdkYjlevIJuAmuedZh+Xcjsi998J/vUV35N+vYFEDc+jwOBjRwE5gyUL8jEcrx4BfmNzMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YLqE2/yu+TXjPjEAQsiMGITBOYMlC+oPfGGv0x+vUhPPARw9IIIjNhkXIFZr4r417kg0JD3jVbMsMITDwMcvSACIzbZ7I00hG7smEP869zaiPqGFV5bfmMuhlgjVJFn6EeyJRCBEZts8EYazjc2xIFWbcq86QBG1FX2vL9MsPb/6rH+CZv/SMwLbg5EYCPk6bVL5Vef/yxJdl//uLjxOL2RVDdai528s9d6pJF/zR7a7X5slpPfXlm9wKOUkuflX9zbDrL+G2lI31gQ7f9xPty60mz9MdDaV1LZi/4yoA73I7GhTYf7kRjhtgIisBFykJRm+qiQxu572Y3SIcWN1mJPr+WPfO/3C6STW6V3kqsrX/GoQi1LLbAkubjMYKsha7+RhvVNf6L5qm2eKMdrIy1w9sABv38DvGt6VxxSiPZvGfvt4rWfhMDcc3KQlCY4SnbfTDe8buVqSl108ePsRimQ2WKpyVqPzJKa7eU30zu//OgUg60hsBL++d5Sko3Ahl1z9Cfar9vOgMCsedLbnIs/Yft3Tc+K04H9IGnYrYAIzDufX09KM6XKupH9mWroRqaQfAvr6bViE2y22PwjjRzUTjvs2j6bZX2BpYsuIyEwI6IYbwAjShdc/AnbM/vRFoC9cUP/SMwLrvssBOacwyS5crcwwdNrpSoOso2eo5bVGoulX1d/Xs1MM9NYabbyafmG0+PskNhrHxfUG3d/lB86K3Y0Xkpf4urdveTCe63FKlQlsLJVdnSuPCBWPO3lfP/ipaPSmYfzNhtJYNbrIvt1GwLTKtj1EzaH9oINwDP/kQz9HlwXiMCcc3jh3YVNmYPCTM3trOZiB8WGWnG7KbCDxt6+L3OtVMfRbuSP/rg8dDYT2E/28mNczcWKzAusPDqXNyieduF6frv0W7X1OMuabyTjFccZEJg10LygvRGlC3b9hO2ZfWgdwJ644X8k5gXXfBoCGyFzAiucVR8DuzS32MmtUlkzyRRZlMjTa8mVe9OT2/lewOwY2r1puu10o0IdlWdotBabzrHzTayjZPfd9Ou7+Skl1dMKSKHTeuuxzrf+ulYW/6qv97z1ef2I1rxOohSvg9iTZw4c/Cdsz+xD6wD2xA3/IzEvuObTENgImRNYuTfupNjquXJvbrGlAls8KNba2VgeIGvsnzwqT3FsLTZtsU/u7hXPvVq8dGG/4mkVZPbfZhDY+kQpHgIbgtmH1gHsiUNg8jm7Aqv88CjfR5dc+HhusYbA2ls9CwJrq648Cz+3VWWd3FJdRuw4jf7LP/8qbXSjfloJKba9DuY3/tiFuAFRiscuxCGYfWgdwJ44diHK58wK7GivOBSVKiTbr/fR7INgp+9CXBBYbaFUMuVWVJfAmotNS3Z5z2vv5rcfXy9vLwgsd9fiHkRO4tiAKMVDYAP8UHrBBuAhMPWcVYEdVsKqzsioP768+TGw8gPPKwR2aXGxaRc789nuaz//3a3ZAbT6z6P8dJCFM+o5jX5tohjvGTsLkdPoz0LBdZ+FwEZIY/Vfb3B1aKrzLMRmmqeyH6Xbb+19iisEtvCBsjmBpWq8VG6rLQrs6bWL9xb3ICKw9YliPARmz+xHmyf2pw38M+5P2xaIwEZIbaKTg+RCuQ20QmDVuRaH89fIaB4Uyzbc2ptkSwW2ePbivMAqxRUfsZ4T2PRg99e3Fj/szKWk1iXK8Z6xK3E8o5eSOlMF134SAhshtcAOGleHWroLca0rcRQnvB/WR6vykziWCKy92LR8jS6BHSWNj1g3/vzJ3uI1ObiY75pARYFNjXH2wAG/f/bQ3rAW0YY24M/YhrYdEIGNkHmRlHcuOYkj22K6sPpaiI/fKa6FmN6++PG0/OxXW2DZcytga7EiXbsQT24ncwIrlsmOoS1eL5Ffp7IeUG57ZA5pg7MHDvb9s4cawBpEK9pgP2Mr2lZABDZCFk+myG4fzl9Xvt5Qe9y4Gn3zShyNkwXLZx2VJxNmv/ekKbBH+RU4amBzsSJzJ3EclWfU355tvlWQXG+LB9H4hZbrEUV5FdIOZw8c5Ads/lMxQhWx/n2R5j9jfqGlVc6gwI5qfxW3/zW7/GDjAoWzkzayLazk9fJiUW15fP6z1u8DKy5ymJ8K3xTY9E97TYE1Fysyf4Zjdi3hl9+sLstRPi2HTOe2HKts+EYyfucP849VO5706rzM6CsjR94g/pKeeBjg6AURGNk4C2eTZBlXYAH/anrz9IGmvAH0JT7xEMDRCyIwsmkWPkCdB4E5A+ULqk9sv5WtPnHAgq4CO/7NtyeTyd/9Mr/xYOe5D7P/Top8/Qef9WIjMLfcTRbPQURg7kD5gkwsx4tX0FNgtaye/3C6ILDJ5HwvgyEwpxwkXadwIDB3oHxBJpbjxSvYX2A/TbPWgsc3J+c/SP/89JXJC9OZwEpvfbozealPDQTmlNvJ7ptd9yMwZ6B8QSaW48Ur2FtgP/3puga7X21jPbl87u0FgaUPZ7e3DgIbOQjMGShfkInlePEK9hXYT3+6tsHu5BteWfazja15gT25jMDOchCYM1C+IBPL8eIV7Cmwn/50fYPNbWIhsFhBYM5A+YJMLMeLV9BRYE8uT8794I/1zcVdiL3O4kBgIweBOQPlCzKxHC9eQUeBTR++kp1s+Hf/WEisLbDjTziJ42wHgTkD5QsysRwvXkFPgU2PP80VNnkxcxan0ccKAnMGyhdkYjlevIKOJ3EU+UP2YeZCXS2BlR9v3joIbOQgMGegfEEmluPFK+h4Gn2dh5e7zkLsGQQ2chCYM1C+IBPL8eIV9Psgc/Hprzz5+RoILFYQmDNQviATy/HiFfS7lNTxzcmr5ZcILGAQmDNQviATy/HiFXS8FuKd+nNg+9lHmhFYrCAwZ6B8QSaW48Ur6Ciw7HNgP0xt9fCtSdelpHoGgY0cBOYMlC/IxHK8eAU9r0ZffA4szblsXyICixUE5gyUL8jEcrx4BX1/H9in389/81f+SWYEFisIzBkoX5CJ5XjxCvIbmYlNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATy/HiFURgxCYIzBkoX5CJ5XjxCiIwYhME5gyUL8jEcrx4BREYsQkCcwbKF2RiOV68ggiM2ASBOQPlCzKxHC9eQQRGbILAnIHyBZlYjhevIAIjNkFgzkD5gkwsx4tXEIERmyAwZ6B8QSaW48UriMCITRCYM1C+IBPL8eIVRGDEJgjMGShfkInlePEKIjBiEwTmDJQvyMRyvHgFERixCQJzBsoXZGI5XryCCIzYBIE5A+ULMrEcL15BBEZsgsCcgfIFmViOF68gAiM2QWDOQPmCTCzHi1cQgRGbIDBnoHxBJpbjxSuIwIhNEJgzUL4gE8vx4hVEYMQmCMwZKF+QieV48QoiMGITBOYMlC/IxHK8eAURGLEJAnMGyhdkYjlevIIIjNgEgTkD5QsysRwvXkEERmyCwJyB8gWZWI4XryACIzZBYM5A+YJMLMeLVxCBEZsgMGegfEEmluPFK4jAiE0QmDNQviATq/F+WkSWN0VgZKwgMGegfEEmluL9tBlB3oy5yTMQGLEJAnMGyhc0Btr/a/+Z2sD56U9tjWPNayHXfw4CIzZBYM5A+YIDbT/YMW0ntt4eGXB7yYBpzZsnrvssBEZsgsCcgfIFDYH2/9rP8+zsoVvwTU+mNW+RuObTEBixCQJzBsoXtAOa/2u/Qf3/2zv/3ziO8w7TRRLAiO0WdqGlRKkpUKTwwV/EhADlwnIbwQ5cNCgLJRFqJS2SnKQgUqxKrq0zJVgGVPjikEKou/+4uzuz3/eoE+ed5Tuzz/ODeaR2P/eO53af292ZXcksf7tzx7we3zhFSuf1Ja63HgLzyNHuBfvq4XtJsnnxrvnlMPvlyhO7SJJz9l5nnYqDiVkoOWfXkmedt1jc2j4mAYENHOjlAo5opFSFwvvKVqpElnKB9frGIVM6rz9xrRURmEemiZXRDSOHzU+yX/bNL1u5sgpxlAIr16lR2iVJznsy2DpvMe8prQKBDRzoY4iEqMHEVSMpMH9pnowjm+aUKZ23InKtFRGYNxbTxO7x58nmh+mB116uqVQV5+8uFzeMKFpSqNapczCxUnk4SXb8FLvOWyAwVYGeRiBIR4oFyemhHeqlQkVn6KSFI523KnGdNRGYLx5eSqyMFnvJR9nPo93s59Qe4kzzP04buqjWaVDaJXVIeagmyzpvgcBUBUoeLYnuzluRckmCRfpMcw8VzpMWjnQeAlvqE9gsSbb3zR7/aNcqIbNVYTOjg8WeOa3YWSc1SvUvlV3yqHmysz9JttJ/PryaCs9eWkuP6ZKtu7NMiPUFJknyjlkgu/SWvP1h53XfW5irdvaCmIk7l59fvDC3/p21bYbABg2U2fM2woT25p1IuSSxUL9pfnbnJ85bEXfiSOm81YlrrIrAPDHbutY5ZDECs2LKlXG0e/4Pl0rF1Nc5VmDvTvJLVXNz4WozM2Iqxuzl+0ZgdoGD2gLFVa4Lrde9b1FctcuXMHFbl/Lfrd9KD5cgsEEDJXa8rTDnHe+qRMni/GT6qBCBOSeusSoC80hLYEe7qZOaAivHTny0Yp1qUfuvmbfsQIt05YtfZ0deWeIs2by2PEwlkwvMLHC0m2w/WS5uZicFU+P8+El2iSuvoXq96i3StGy8SbZEEWdKM6c+y6PKku//HwxHsYnLpsllCgb279tkM31UePJQ4bxVejhppHTe6sQ1VkVgHmnJaGYFYP44tS5KFfP0alKq5DiBLfYnxk9m6VmZdKE4IjroXSA7r5jb01J/3f8W9tKcSS3i5vZ4rPpvHQQ2JDJ73naaXKZgoOzevD/TR4UIzDlxjVURmEeae3nrgdQx2WHRjXzofOWgnd51DK0x7vYyVO1q2vknhYCmRmB2gdrBXrr01qc2r/66/y0ynj76xaXECMz8yZRmjr2m7TOInEIcNtBs4aJhBeKJksX5yfRRIacQnRPXWBWBeaQho/lk0+zzZ8YTP5nUJlzNk+oM3jECe+dabeHyOCpTyrx2sFUzXEHuymzy2S+flCXY171vkZ+MLM5tNgWWu6t7BhGBDRsoseNthbnudz0lyu7N+zN9VIjAnBPXWBWBeaQuo1l1lvBhPmzjoC6wg0khhOOvgdUXKSXSIzC7QF1gy/238pfbWVT9dd9bZD7bfOcnn9pTiBfq75v96KkSgQ0cqHsYvWCg5M68P9NDgS6pwnmr9HDSSOm8lZHrrInAPFLbzd9I2pedGg6oj6FYX2CNI7BidPtOd4GCxe+zsfE7ndedt0iP3S5UZylbAjvaPf+kewYRgQ0dqHwis1ygqBz6Qr1UyDww58R11kRgHilltJjaO0fV6E4Ka72q6BfYcdfAmgvUWNysbhVVf918i0J9Zup1S2DL6eZ/7nUnOyOwgQO130pKLlBUDj2ZHgp0SxXOkxaOdN6KyLVWRGAeKWU0rd1gcGYOe8w8r2lHNesLrG8UYmqcnfoCxcWrzHBn7xVZ9de9b1EIbJ7U46qf7066RSKwgQPV38xXLFBUDp1UySypEmXzEFgAaBbYLGmM18hujGhvOWiGJB5eqhZ4AYGZeWB2DH5+ja2cB2YWSHV2/u5yuT9J5ZYaLnt9uGdsV77ufQtzCjE9QmsJzCyTXVvr3i8RgQ0cqL5AHqeiJU/aN+L+4nEqmgVWG0yR/X6jPlrdDkk8e7e1zoo7cTQWOeZOHM0Fku1lNc5w617z9Yq3MDXezJJqwsyrTt+qM48MgQ0eqL7AMT3QUrfAtJ/j7ItcczUE5pFy2F5DYPkQwHPFfQjzh4NtP2mvs5bAeu6FOG0IzN4L8Vr12j7uq/667y3ykZJpjfa2HDbuy4nRbuOIsgCBDRyovkBPDzyWy+SJzGryOpHrroXA4qJneKA8s74nriCwgQPVF6h55pvB00BO8al0smkimeL+Wp7sSwoCiwM7LqPnJlHyNG+hX4DABg5UX+DoWiypL/E8ad/I+2t5ki8pCCwOjnbzYRfTvpN70uz3jDNBYIMHqi+QFqvK83e8JCntF20xAouEfXORzf8B2HTFmyCwgQPVF0iLteWpPkQ0ILCxkj2BcvPi3ecv6MjNfBpAFwQ2cKD6Ammxurz4CkRgIAMCGzhQfYG0WF1efAUiMJABgQ0cqL5AWqwuL74CERjIgMAGDlRfIC1WlxdfgQgMZEBgAweqL5AWq8uLr0AEBjIgsIED1RdIi9XlxVcgAgMZENjAgeoLpMXq8uIrEIGBDAhs4ED1BdJidXnxFYjAQAYENnCg+gJpsbq8+ApEYCADAhs4UH2BtFhdXnwFIjCQAYENHKi+QFqsLi++AhEYyIDABg5UXyAtVpcXX4EIDGRAYAMHqi+QFqvLi69ABAYyILCBA9UXSIvV5cVXIAIDGRDYwIHqC6TF6vLiKxCBgQwIbOBA9QXSYnV58RWIwEAGBDZwoPoCabG6vPgKRGAgAwIbOFB9gbRYXV58BSIwkAGBDRyovkBarC4vvgIRGMiAwAYOVF8gLVaXF1+BCAxkQGADB6ovkBary4uvQAQGMiCwgQPVF0iL1eXFVyACAxkQ2MCB6gukxery4isQgYEMCGzgQPUF0mJ1efEViMBABgQ2cKD6Ammxurz4CkRgIAMCGzhQfYG0WF1efAUiMJABgQ0cqL5AWqwuL74CERjIgMAGDlRfIC1WlxdfgQgMZEBgAweqL5AWq8uLr0AEBjIgsIED1RdIi9XlxVcgAgMZENjAgeoLpMXq8uIrEIGBDAhs4ED1BdJidXnxFYjAQAYENnCg+gJpsbq8+ApEYCADAhs4UH2BtFhdXnwFIjCQAYENHKi+QFqsLi++AhEYyIDABg5UXyAtVpcXX4EIDGRAYAMHqi+QFqvLi69ABAYyILCBA9UXSIvV5cVXIAIDGRDYwIHqC6TF6vLiK2aDDswAABB0SURBVBCBgQwIbOBA9QXSYnV58RWIwEAGBDZwoPoCabG6vPgKRGAgAwIbOFB9gbRYXV58BSIwkAGBDRyovkBarC4vvgIRGMiAwAYOVF8gLVaXF1+BCAxkQGADB6ovkBary4uvQAQGMiCwgQPVF0iL1eXFVyACAxkQ2MCB6gukxery4isQgYEMCGzgQPUF0mJ1efEViMBABgQ2cKD6Ammxurz4CkRgIAMCGzhQfYG0WF1efAUiMJABgQ0cqL5AWqwuL74CERjIgMAGDlRfIC1WlxdfgQgMZEBgAweqL5AWq8uLr0AEBjIgsIED1RdIi9XlxVcgAgMZENjAgeoLpMXq8uIrEIGBDAhs4ED1BdJidXnxFYjAQAYENnCg+gJpsbq8+ApEYCADAhs4UH2BtFhdXnwFIjCQAYENHKi+QFqsLi++AhEYyPB9AIChOe0dnxAI7JQ57c8xAIyQ097xCYHAwkL8gycdSIHqAtUXOL4Wqy8wGBBYWKj/5FOgukD1BY6vxeoLDAYEFhbqP/kUqC5QfYHja7H6AoMBgYWF+k8+BaoLVF/g+FqsvsBgQGBhof6TT4HqAtUXOL4Wqy8wGBBYWKj/5FOgukD1BY6vxeoLDAYEBgAAQYLAAAAgSBAYAAAECQIDAIAgQWAAABAkCAwAAIIEgQEAQJAgMAAACBIEBgAAQYLAAAAgSBBYWDy98/XIAtUXOL4Wqy+QFo8GBBYS+5MkSTY/HFGg+gLH12L1BdLiEYHAAmKWnLty+2qSnH8ylkD1BY6vxeoLpMVjAoGFw8Ek/4AeTKQ+qOoD1Rc4vharL5AWjwoEFg6z5KP851zqq5b6QPUFjq/F6gukxaMCgYXDdPOT/OdiT+iDqj5QfYHja7H6AmnxqEBg4TC1X7QWez/aTXbGEKi+wPG1WH2BtHhUILBwmNmvV0e7OwcT+6Ur7kD1BY6vxeoLpMXugQGBwMLhaDe5kH5QF9kZg5nENy31geoLHF+L1RdIi90DAwKBBcTBJNl89/1JcqEceBR7oPoCx9di9QXSYvfAcEBgIXF4KUnZzr5t7Yl8TtUHqi9wfC1WXyAtHhEILCye3r5tT3cLfU7VB6ovcHwtVl8gLR4NCCxMxE91qw9UX+D4Wqy+QFocPQgsLA7vLo/eu/LVVbH5HuoD1Rc4vharL5AWjwYEFhTZKNkb2elul4/pwT/dkw1shAsHyuQ9rVZW2WK6RF2Lg+oS+cBQQGAhcTBJttMvW7c++NQtZKf22j2w/iQHkcAaMnm1oVnSBYoE0iV0iRPigcGAwJTzuPbafEwdqYdIBDae5CBS4eM75bdIkbws5ew9wUDpPqFLnPPG1yXyfRIkCEw389o1WZX+ajzJQWxT334iVmCektj7E4gESvcJXeKcN7ou8dAnYYLAdFM/k7GcyfpLIrD1JAf3wHRTv2ymZC5F8kyTi/t1SwVK9gldIhI4qi7x0CeBgsB0k31VFRwXe7hrtsyvrr79zjWJy73ST3Iwm/rB5Oy95y+7bmLa5Lnk/0TZPqFLZBLH1CUe+iRUEJhuDibnRA02zb+05eOVkq27Anl+nl0xFbslqfkyLXqDHeE+oUskIkfVJfJ9EiwITDfp99R9yU3zaDf9MjhLtq49vlVdRndA/NkVdss8+/7bb1+RuUtc9mX6aFfwu6pwn9Al7oysS8T7JFwQmG6ykw+iBpsnZ//H3G0mu4e1c5z0kxzMpp6WJjSn5ejSdi1XBuk+oUucGVmXiPdJuCAw1Sz2su9/ogabJufK8V/uXy4ln+SQTW2dZ5vjYi/58ZPlw4nrrqM2V3Yut5nL94neLskQ7ZJ2rgxj6xJvfRIeCEwlhz+/fCWf93j0z9l/3TfNMjDbmOwWudhz+DJYBMo9ySFffXEneznbMX9w23XU6znadf7iu3h020wTFeqTMk+qS4pAsS4xc28Fu6Q+mVeiS6osoc2kCpTpkgLp551IbiZhg8A0MsvODNS3G9dNsx5YffN1uAZcBUo9yeGgc7XBcdfRDJy5fk/NJ95s1Sp07JN6nkiXVIEyXdKYe2tx6pJ2oHOXLJdf3Wk0z9lgVZ5Il1SBUlvJ4+6fRAwbLAhMIfNk69PHNxpXCNw2zWbgI7sBmRMv7oEiT3KoTW0tcdp1tAJdrz1kU1FvTRpnvZz6pJkn0CWNQIEuacy9LXH6ztMKdL4cZJRdv3uS22bSyBPokkagyFbSO/dg1GMREZg+ej/iLpvmim3m5Gfj+wNdzu43prZaXHYd3cCZ0yUXc+KnddbLoU9681z+F/YHuuaVc28tDl3SE+jWJZkRP/j5W+X9KHJcNpO+PKdPdW+g0zWwxoRti9NmEjwITB/2a9bi95ev1Oag7J/8g98NnG5e+cN7J999dAJdn+TQO7XV5RRTN/DIaQCzdeGs6YeT90k3z7FLOoGOXdI/99ahS3oC3brEGvHL9mGxo7JreY5d0gl0f95J34RtgTOxAYPA9GH2u/nph+Ri9WnvOf190kBzRv7iibekTqDjkxw6U1sddx29c2XnnVOUL8C08MO/NCbenLhPOnmuXdIJdOySztxb1y7pm8zr1CWFEVsHiSfukk6ea5d0At2fd9KasO3aJxGAwPQxN4OVNi/evjoR+XT2BD76xS8d7jDQDXR6kkNnaqvrrqN/ruzU6ZLVhaXkxJuePLcu6Qa6PVyjPffWtUv6J/O6dYk9QXwgM5C8J8+1S9qBzs87aU7Ydu6TCEBg+sj3u+YL66HIxH3tgT1TW7+6ffvrlcufJHBZjD0+Gek+6OLtW5NsDF2623DfX0rniQd25966dUn/ZF6XLpmXrey7MnT6efKB3Qnbjn0SAQhMIem36XQzz1/KTPLQH5gjOLVVPHCeny/NfSgygUk6TzpQfO6th8CylU6nIn3lyQf6uK9B6CAwVdipo3vJj3btsYPjGFn1gfW5rSJ7cl+Bi0d3plaHbjdBks7zVKDg3FvxQENtEKPIQAbpPPlA+QnbwYPAFFHO9KwNNnLSg/rA1txW983cZ2A5eaA93v808/wVKDX3VjywmB6cfou6UI5ndAqUzvMVWIDBShCYHmozPefFXSScJnmoD2zPbXWe2uo1sBgT4nLrA+k8rwWKzL0VD6ymBx/uFoJw+lRL53kMLP+AwSwITA2NmZ6pH/IHEbnNhVIe2J3b6ji11XPg1OyOxFrsnue5QIvbDHXhwPr04DLV8VuUaJ7XwAIMZkFgamjO9Dy4lH7nuuw0jF59YHduq9vUVt+B6e7onNvEG+k8zwUKzL0VD2xMD04bvPXJ0smI0nmeAwsc7msQFQhMDa2Znotbk6R9W5vIAnvmtroN1/IdeOA8GUo4z3eB7nNvxQOb04Oz2K3LlwSULZXnO7Dg5Pc1iAoEpobuTM+nbnM81Af2zW11mdo6QOAjt4k30nn+C3Sdeyse2J4evP+W27co6Tz/gVADgalB/LGt6gP78lymtg4T6EKQXaIrsDs9+KnTwYh03hCBUILA1BDC1FHZQPUFjq/F6gsc4fxl+QnREYHA9CA+01N9oPoCx9dixQU+vXX5g7uC04Ol8wIIjA8EpoDiDIPYTE/1geoLHF+L1Rf4ZX6vrG2x6cHSeQEERggCO31qj62SmempPlB9geNrsfoCZ8nWtcc3s7s9ykwPls4LIDBGENjp03Np1u1qgfpA9QWOr8XaC7SnH+d2cpXz9GDpvAACowSBnT7Nx6y6P7ZVf6D6AsfXYu0F2vlkZkCDwPRg6bwAAqMEgZ0+zcesuj+2VX+g+gLH12LlBZa3dzS7defpwdJ5AQTGCQI7fZqPWXV/bKv+QPUFjq/F2gssJkQXP12nB0vnBRAYJQjs9Gk/ZjX+QPUFjq/F2guc24cfVA/vcZ2/LJsXQGCUILBTR/wxq+oD1Rc4vhbrL/A/6ifUlk+15QUQGCUI7PQRf8yq+kD1BY6vxeoLtJjd+cFkW2leAIFRgcDUIL6tqw9UX+D4Wqy9QHNgJ3dPQOm8AALjAoHpQfvOY3y7yxG2WHmB+e5cWg+SdtAfGBcITBHKdx4eAtUXOL4W6y4wu5mH5N5cOi+AwLhAYJoQf8yq+kD1BY6vxaoLPNo9+0dZPcjmBRAYFwhMFeLjZNUHqi9wfC3WXGA2n1f2lKRsXgCBcYHAACAYpsJ7c+m8AAKjAoEBQDDMhffm0nkBBEYFAgOAcBjTCVNPgTGBwAAAIEgQGAAABAkCAwCAIEFgAAAQJAgMAACCBIEBAECQIDAAAAgSBAYAAEGCwAAAIEgQGAAABAkCAwCAIEFgAAAQJAgMAACCBIEBAECQIDAA/1zfqPNXv8v/9L0HLxLwIkvX3u+113/7osUChAICA/DPyQX22d88WK6/dO/7vb5qTZsNECoIDMA/JxZYsZSLwFat+oKZAOpAYAD+6XHFiwnshd8vl+Ry+ezzj1ODvSyZDaAGBAbgn1MTWMr9jY2X/l0wG0ANCAzAP6cpsOx8Yu8hGAKD0EFgAP45TmDffvxKeoxUDRbMf//rn2Uv75trWGdWLf2Xv9s48+y/Xt3Y+M4PH7TCawJLl7K/fZ6tvPFavnCV3S0BIAwQGIB/jhHY/WKoxRvm7/drv3YFVvzrS/+Y/Zaq6W9/YP7w3d81w2sCe/ZTcw7x2a+Kt8oWrgmsXQJAICAwAP80RgWaK1JWSak8siOfP//K6iP9/Xu/zV1zprZUbenv/iY9kkqt9eYyF1iqsgfLb39qF6/eryawbK03zY830pBvf2BPKdak2CgBIBQQGIB/VgrsT68U16fu539PlZRbJT1qagy2Nz+Lfy3+ORPYm/b3xiFen8DShc1bFSk2u10CQDAgMAD/rBTY/dI0qYNSj3xjjZS+yBdrCqwyTGqdMzWhtYzVFdiZMrEjx3YJAMGAwAD8s+oaWF0Z+R/uN0XUEljlJXM4VR5UtdfrPYXY/leT2SkBIBgQGIB/VgksOwfYuENHe8GGwGonCs3LbBSi+f1YgV2vBPbnz//7X19t3AukUwJAMCAwAP+ICezl9uprCKwYhbj87NWem1khMAgXBAbgn2ME9vKxC0ocgf3pleJcYTYJ7B/+7YvrLYFx4QsCBYEB+OeYa2BtYRU3MTRHW8+9BraGwOydOOwo+mX3GhgXviBQEBiAf1ZOZL5ejis0IilHIaaHTW8u2wKrRmN8s2FHIT5fYJ+ZcY+VqIo7c1wvRtM3SwAIBgQG4J+VArOn95bFAPpyYHzjKOmYeWDPEdiz//37DXMAVtnpfvOBLu0SAIIBgQH4p/l8rtw6tXtr/CzVy6/tY7u+ad6JI5v59eyLvjtxZP98jMDqlDfcyE4hZuuaY64iu10CQCggMAD/rBZYdSPC6viodl/CbzbMAdTKeyGuITB75esv9q6JG6//2hxpFdmdEgACAYEB+OcYgS2//Tgb3W5uP29+f6X262fpLy8/aN+N/o0v8l/WENhrP/yi+GN+3/qXXv9NOfDQZndLAAgDBAYAAEGCwAAAIEgQGAAABAkCAwCAIEFgAAAQJAgMAACCBIEBAECQIDAAAAgSBAYAAEGCwAAAIEgQGAAABAkCAwCAIEFgAAAQJAgMAACCBIEBAECQIDAAAAgSBAYAAEGCwAAAIEgQGAAABAkCAwCAIPl/buREksrfa2UAAAAASUVORK5CYII=" width="864" /></p>
</div>
<div id="sweden" class="section level4">
<h4>Sweden</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Sweden&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
</div>
<div id="continental-western-european-family-of-nations" class="section level3">
<h3>Continental Western European family of nations</h3>
<hr />
<div id="austria" class="section level4">
<h4>Austria</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Austria&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="belgium" class="section level4">
<h4>Belgium</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Belgium&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="france" class="section level4">
<h4>France</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;France&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="germany" class="section level4">
<h4>Germany</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Germany&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="italy" class="section level4">
<h4>Italy</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Italy&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="netherlands" class="section level4">
<h4>Netherlands</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Netherlands&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="switzerland" class="section level4">
<h4>Switzerland</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Switzerland&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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nobJ9sHg2TjfT02pjR5zenN21ByOngrGFCr7UJ88lY+NuedXOD1EJ0d6qoVmHuzOMqdetn0L26N8y7Uks0QGDRoK6Utq8G0MBGBdSTDZOsoEJjbGm3cq7RPhv6QlNnpSyuo/7+1h/zINu/ccFR/z16g2BgmV0sDanUC+4kVTfnkHO+G6PQRMwTmHeVO3dg12+6crKFZBIFBg7ZK2hJbTIsB29EQmHh06yMQmGqY7BU7A4GZZtVk3ykr1F5d/a/Ot22bk53kxmE6eWg8FWzoYbbD4Jp1AtODbvaY4OQMP07693TJ9SSTKV2I6pV/lHeqvkPr5Grn5atfEkJWl8AQcqTFge1oCEw6xkmeipQsTDVvUxKYaWJNFVjNoNjYzVsMeh2DjWEw/GYxVYG5Pk11aHByhndnG4PWCGxyMLCY4qj81LFrjxX/9YPACFllEFg30xmBDe1AVqaiyS+uDpL+T7O9YZVuK31PYGGDJVeHm42/7Vo+JeeFAnQT9b3exzqBbWc7wpPH3kyRb//4y92kLLDKNPrsqPxUe4f2pOpkEboQoUFbJU2qx48uRNl0RWB2smDYlnpS9OcFAhsPzMDT6S2wGoHlJtEO8jYyOZ0iMFMefeHw5Fxgx7vuzXqBXbtXPqokMHOJag8iAoMGbaU0BNbNdERgbgpGSUVFw8YX2Mh1us05Bub6+NwsRk87wUZTgYUnZ8XTpupfu/XRlC7EfLM4Kj/VfdVfambUIzBo0FZKk/IX0+hF0xGBjRLfB1n8yQ95nf4gyUa4glmIIW3L3/AF5o2OhUNljQXmnzzOH1Pbcg29GQILjioL7GRn87DmcTMEBg3aamlS/kJgkumiwPIWVI3AJsNigamRm3AxKi9v4U+pDwQWtM3Chtp8AssfsA5PLvnRPGc9VWDBUWWBpcP+P+5XH3ZGYNCgrZgm5C+WkpJMRwTm4mr6bOXDfAXEQmBDb7rEXCtxHO97AsvX5RjbiYTexnwCsw+m6WOCk0sCG+txt1MFNk78khVffzSorsmBwKBBWzVNyF/Si/kisM7E1fRHA/OMVdFZWBGQiWoFbUxfC/H6R+rF53fto8bZ+arVs/koLR7lKjbmE5h5ViypnBx0IU4eJjMFFhzlicseowfXquslIjBo0M4OTdJfrEbfnWQ1/Tjx1suwb5QnYejtY281+qDbUMsvi1kcKm/Bjd2EwBvljTqB5Yy9cCWOysmFhUw2H6rt6ZM4/KOC+R/6KO3ecoMSgUGDdqZokv5KW4zPIbClJK/pj/1P/Uq9OXqBwNJj/akp1w/tqWG9/+2Hemmoy2ZNen+eh13B8F5lYz6B7akWV/YBLd7JOV6vO3z5tmlOTReYf1Rx6h8GWQdlzerDCAwatDNFE9RXjpv/cARGlpTKlBQdBAYNGjQxGgIjy0n+dFsQBAYNGjQxGgIjy8lB7eeCITBo0KCJ0RAYWUb0EsY1DTAEBg0aNDkaAiPLyMN8ikgYBAYNGjQxGgIjMYPAoEGDJkZDYCRmEBg0aNDEaAiMxAwCgwYNmhgNgZGYQWDQoEEToyEwEjMIDBo0aGI0BEZiBoFBgwZNjIbASMwgMGjQoInREBiJGQQGDRo0MRoCIzGDwKBBgyZGQ2AkZhAYNGjQxGgIjMQMAoMGDZoYDYGRmEFg0KBBE6MhMBIzCAwaNGhiNARGYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQxGgIjMYPAoEGDJkZDYCRmEBg0aNDEaAiMxAwCgwYNmhgNgZGYQWDQoEEToyEwEjMIDBo0aGI0BEZiBoFBgwZNjIbASMwgMGjQoInREBiJGQQGDRo0MRoCIzGDwKBBgyZGQ2AkZhAYNGjQxGgIjMQMAoMGDZoYDYGRmEFg0KBBE6MhsCXlaLB5aF482U2S/jv2dfrkptq4/qhmY3J3kCTZhp/Jh28lSXLtXt1FRsn2aeU42bn0cf2eYbJ32snlHKkymlzObqiayYc3ZhAQGDRo0MRoCGw5mewnVmAjW+NvGIs8sBv99ysbJztmoyqb3BkbNR5amcASd3c1GSdbMwgIDBq05nlbRRDX4TtFYJ3IyFXxR4P+7TQ93jW1+jgxG/vGU8GGssnmI71R9oIWoW6WPdmd6YXpERZY1qwcTFUnAoMGTZb2tosoTwq2WlUjsKVEN1VMXT+0Ff3RQGlEycgoQ7W29sINu19v2PZYkXGmtOqu+bIcgalyTcMiMGjQRGlvvy1rMGEdin7fmhYNgS0jyk63Bn5jymgkd4m2WrChGmy21jd9gqrVlrtqlOtAHeckZt/TMrFdiMc3kyS5etsc5b8urlxEj7u5ESwlsCdv5cNzx3eTbAzOSddcZpxsHwySDVeeQmAO6+HskZdN/+LWOO9ALdkMgUGD1jDCAhPW4WrbmghsGRkmW0eBwMKtod//Zjay1pBpvvgCC1s69rChsYN2g/OdHZWyVite24QCc+NuZv8w+Ulx7Nie2N9LywL70aAY8CoLzMfZIzd2zba7atbMLILAoEFrlrffFjWYLE1nlapGYEuIbn8EylJNE68iD3oDzcZk370Tis7sVm2kL7ItIyz1lraDlpneVpL4u0M9KmU4xesc4AlsnPT1bMYDM3NkmOjhNVs0Jb7rX6STB26HLzB/WM7vQlSvAlx25NjZca98cZNXvySENIkvMFmcAE02zYuGwORjnOSpSJmi78+CD/rVzMZ0gen5H3oW/a++sLtNA+2qOtq4YWT6In1bVQbKAoc4NdmG0dA27kbaO1mRhvprKDCfmBVvcjCw7UYPlx05du2x4r9+EBghzYLAZgSByWdoO/YyFU1+cXWQ9H+a7w6cYDc8gVXmRkyeGIUl1w/1ccZatwZ7lu9aYBsfZcd6r10qjaBv//hLBdzL9aMPyLv6TMMqFFjYE1qZRp/jsiOttOxlq/NE6EKEBq1Z6EKcEQQmHtOkKbWlnhR9iONBv6jV3caMFpjJ5/phZmMEddzw0r/tbNveRPcf/ZTYr4qnztxrm1Bgtj2XOIGZcuhr5y03c/QcAnPPVfu4UGCGXjMDEoFBg9YwssbpssCYxLH6uCkYJRXlIhj57a9s4zSBqRzvaK2Mk72Tnc3/2N+yZ9hZiAdvGYncOCy9NgkkogXUv3bro/2KwNxBNQLzOwFLxQtw2ZHuq/5SM6MegUGD1jDCxpH2F9PoJdIZgY3yXrYkUIet+h/4/io2glmIXrxBLaPAo8G2+l863Px3o5xsJY7JP+vp7NXXaSiwyX6ydZgWY2BztcCmCyzElQSmPHtY86QZAoMGrWmEjSPsr3P2IPOzK73Xl4DtpsDywSVb9U+G3opQ/kZmovLaUN48dCOwyf7mgXpnfOlfjCa8wycPi84+/7UvsMxT9uFp7xnrWWNg0wUW4koCS4f9f9yvPuyMwKBBax5R4XR6JY5VLiX1yf/12ekHnXWBubi6fuhP73NPcLn4G1NX4hjlzThHuPRjPcXxb//eGEcLLJv3oS/ov3aAOoGNEzuH0BxkPBXMQrQbun01n8Asriww/VxYdU0OBAYNGjQxmqTA7vdeQmBZXF1/NNDjUe4Bq5Hvr2BDTx+sXQtRPwd2+9AslGFsYZ+20u/aNTm2s9USj7Vv/Nc5oNyFqNpnTmB66yApngP79m72RNdtzZivCzHDFeKyx+jliavrJSIwaNCgidEQ2JKS1fXjJF/iwq04b5euCDbMHI181MxfiaOY6GfnLirTbBVr3Qcrcej+SP+1jXedvawwmw/t4152JQ7z6Sf+ShyKrovyL6dO4ghw2ZHZMpCKUrN6IwKDBg2aGA2BLSl5XX+cf+rXuBgd2wo30mwtwkN7ql/zT9x6g3Y5DqUF3azJh6nMWoj6o8TcJ3T5r00CgZkPJ7t8Oxvq2jsYmCXxi+vbzyObqNcbj8anCizA5Uf+YZDZtWZGJQKDBg2aGA2BkSWl9sPKEBg0aNDEaI0Edr/3wgfmxfM71lXfvHux17vw2m/1e497JkZO/vvZZu+vfmY2tMCe/+Z7vd53/ybT3e/M/r+024r95qdvqN0/r4JmBIF1LPmzbUEQGDRo0MRojQT2tNd707z4+qIRlXNW78L/mwYCy97vfd8c/Um2+aLWnxLYa1fstm2wPf91sF8J7K/1hnZlCTQrCKxjOaj9XDAEBg0aNDFaI4Ep97xsXjzuXfi50cuL/1u1n95wXsu6ENX7us30p19b8SjbvaQ2n/9Tz5ytIL0LqrH1zR3XXFOHf1+d980bdr8SmKZ/87MKaGYQWKeiFzCu+wBOBAYNGjQxWrMxMKco24OoTPRS1ulnuhbdXiUsq7ncc67j0fZAaoG9meaUwoqOpwWWt/MC0MwgsE7lYT47JAwCgwYNmhitmcCeWpEos7zpW8X1KDqB5cLSLnq5Yp/ce05oT7PdzoOZDqugmUFgaxEEBg0aNDFaM4Ep+ejGkTVLPqUja0Tdz1pQuWzMO0/1NIz/7TPydlUGyI52AssbdiFoZhDYWgSBQYMGTYzWcBr9fe0Uq6BcNPnL+1mXoBetJDtJ47t/83tzcDGN3hPYn373P//r93qZwPIuxRJoVhDYWgSBQYMGTYzWUGBPtUhsp1+1gTRNYOmnP3CzDPVE+qrAPvmefzQCO8tBYNCgQROjNRTYsyvKXXlX4bQWWM141e/+q7HUm1WB6Ukbvd5f/vV/+/39isBOG/jygsDWIggMGjRoYrSmK3Hc772eGWj6GFj9eJWeR28nLwYCc7PoU28MzHprKqg2CGwtgsCgQYMmRmsqsKe9lz5x0wYfZ9Pd9TQNbxbi/XzWoVGQ19VoDFUSWKEptSMQWBk0u2AIbC2CwKBBgyZGayqwZ1de+C/hc1t1z4E529iVOx578+SrLbDCTY9LY2AV0MwgsLUIAoMGDZoYrfFivvd7uUy8lTjckhoXfv789/b9n+VdhtpYF36ol9q4UzsG5roQNaU8OaQEmhkEthZBYNCgQROjNRbYU29CYLAWotllV4PKlzC02vn6YratzVUW2LM33M7X/skIzp/dWALNCgJbiyAwaNCgidEaCyz4NBS7WPz3f+82P1FbL9tV6vWcQ7f8vHLSb/5SPwhmj6tMozdL0+tHnfPny172LhCAZgSBrUUQGDRo0MRokp8HttIgsLUIAoMGDZoYDYGRmEFg0KBBE6MhMBIzCAwaNGhiNARGYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQxGgIjMYPAoEGDJkZDYCRmmvy6faUjd+kO/9HK3qgsrcvfN2jnnobASMzM++v2lR+RK8vqUIz2leidytIKpAjJpMNVZ5f/GXF+fgoIjHQ48/26fVXOgleVrdaXVrKFccLfNvl/RgiKVZTW3V8QeVwOlEClq/6ZIjASM3P9upXr4QX/PkRhorSaG10AJ0tb7j8jFkQJ02RvdLm07v5jbmFYGxoCIzEzx69bXT28yJ+HJEuWJnujwt+2Zf8zYhGWMG25NypN69A/SjrwM0VgJGZO/3Wr+Ytd5K9DFCZLi3KjnbjTWl5rlDBN9kZj0Lr7j7kFYC1pCIzEzKm/blP+ZNv+dYjCZGmRbrQDdzoF1w4lTYtwo+I00X+VtGR15GeKwEjMILBTWa1wsrRI7eB2LGFajBvtiMBEYR35mSIwEjOn/bpN/ZNt98chCpOlRbvRld9ppyUR50alaR34R4korD0NgZGYOeXXbcafbJs/DlGYLC3ija74TjstiVg3Kk3r8D/mWsAWoCGw85ujweahefFkN0n679jXpY2bauP6I7sxuTtIkmyjyMlOsp2/vPSxO3Y/fzMIApuD1RgnSztHApO90WjfNmlcc1hnfqYI7NxGOcYKbJSYbHxc2XhgN/rv6w0lKp1MUXnU+/YAX2BHAwcvZfav28w/2eZ/HKIwWVrUG13pnXa6lRPvRqVpHf7HXGPYIjQEdm6jVGUcczTo307T491kq7wxTszGvpXWMNl8pDfKYtJi28peZgIbXvpxZrUgCGwuGAKLQ4t3owhsObSFBdYzWRAikA4UYb2i2kjWRUPb2Xc00PLxN1QTbU9vKEPtZfvVRllM6p237IGFwE52Ng8yqwVBYHPBEFgcWrwbRWDLoS0osF6ehTACWXkB1izKTrcGfmOqaD1lG/k7xmojJ6SR3lANtfe9Y/+PlVtxxjjZDnh5ENhcsLMkMFGYLO0UmOhPoSmty7+9HfqZLiSwXpAFQAJBYM0yTLaOAoEFW+EuI7Cha2WNtchKAvvY2a1QntqdnRBk5q/bKX9kTSsBUZgs7dQ7XSFN+PvWocquIazT/yiR/SmcT4H1eh0yGAJrlHGyeRhY6mDg+SbYsL2Gk32nrNBtqbWW623MBGaOGddN43j1yxk55Y9MZ9bpjXFNYLK0yDe6wjs9DdeMJUyLeaPSNFlcM1iHfqYLCKzsr9UaDNx1XvUAACAASURBVIE1iXGSp6JhkvTvpXUbqes8nC0wN0KWCcx0M1ZHy1IENvedro6GwJZyowhsKbT2Aqv6ax6DPbvysnv1/N2Lvd5rv217+UpxpEDnIkM7kJWpaPKLq4Ok/9OajdTMRXw/EFhpbMtaa6gt5wQ22XfTFquPgtGFONedrpJGF+JybpQuxGXQYgvsfs8J7NkVc8YLH7S9frk4QpxzkZHp3QvbUk/8bkNvYzzo65entMBse8sJ7GhgRsTG1WfGENict9oIts6jL81YCGxZOElaQ9hqBFbnr1MN9vx+LxPY/d5Lv02/udN76bOWBSiXRwZzLuKmYJRUFIxZ5Rsj95TyaQIzZ7iX7mFolco0DmYhzgU7S7MQuzPluhnsbE2jl6V152caVWCfvtHLBPb1RdP2enblws9bFqBcHhnMuUghGL+NVDsN8UG+ykYwC9FPNvA1zKbOuyU7dCqPgiGwuWAILA4t3o2uWmA8Bxam3l+zDfa41/v+J05gj/Ovr7crQKVAMphzkUBg2ePKxlnBhmp2Dd2aUqmbmOF9zZMJ7GSn/w/mZa44f7K9CwKbC4bA4tDi3SgCWw4tqsBe/Fn61Inrfu9N8zXbXjgIrHFcK2vofGO+Bht69ajD4uipK3HkTy9fdqt5uJ7DmhV9FxKYaL+/7IOlXR4vWe2dzuQ1RknTZt7pamnCP4XZOMHSNWctQospMB0nrOd3XNfh1xeFBsEQWOM4gR0NkhuH6cR2FgYbI39UTNloY8paiPkCiKZL0luCY1Q5mNXo54DJ1k6ixmnzfetMZdcMJnujwjqUxTWHdeZnisDOb7JxrrFbc36vtFEayzr2VqMvr8SRAfXeUTHydTQoT+NYRGCi9bpstS4sicaweLQ2NfFUXguUNE30PmVpwj+FWTjB0rVhLUBbvcCEJtIjsMbJZ20c+5/6VWyMk0Bg6fFd9er6oT21TmDKXd6YWmpabaVpHAt8IrPoH61sjdLlf62v/k6n8lqhpGlT73T1NOGfwnScYOnasdrTVi8wWmDnKaf+uk39KxPum2gDk6VNZXWAFqWya4eSpol+26LQZH8KsuZvyWpPi/scGAI772kvMNF6XbZal22WdLnqbIurA7YlSdNqb1PSh+1p0j+FelrrdOFnuiKBMQvxnOb0XzfhP9p6lmQNIE1rCYtCE6zt2pPEaXLfNWma9E+hDrdAOvAzjb2U1NPS8188B3a+Msev29L/aBeqn0RpovcpTBP+vpWAi5Gkaa2qzjg04Z9CFbdYVv4zXZXAWInjfGauX7el/tEuVqsvm7YQbMk0sRpqcY44rbhJwYpYhCb9UwhxAlntzzT2x6lkAnt+p/ciayGev8z367aMP1pDEflTE6V5N9k5mvD3zeTLL2U4S6BJ1sOSNPGfgqC9TFb5M439gZb5mNc3rEZ/HjPvr5t81Sn7NytPE4MtgSaI67DAukzjpzAliwgsbe4vb9LGN++qc14Tan8hsDVJk183/mihQYM2MwsJzFfYQhiBrLwAZJ40+nU7O39m0KBBWwZtQYFlClsQIpAOFIGcHgQGDRo0MdrCAutKENhaBIFBgwZNjIbASMwgMGjQoInREBiJGQQGDRo0MRoCIzGDwKBBgyZGQ2AkZhAYNGjQxGgIjMQMAoMGDZoYDYGRmEFg0KBBE6MhMBIzCAwaNGhiNARGYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQx2sIC69ksSFk8qy8BmSMIDBo0aGK0xQTW87MIaPEgsLUIAoMGDZoYbRGB9cppj1o8CGwtgsCgQYMmRltAYBV/rdRgCGwtgsCgQYMmRmsvsBp/rdJgCGwtgsCgQYMmRmstsFp/rdBgCGwtgsCgQYMmRmsrsCn+Wp3BENhaBIFBgwZNjNZSYFP9tTKDIbC1CAKDBg2aGC2qwD79Qa934bXf2o3n717s9bKNxYPA1iIrE9hXNqI0IVh6lioUaNBi0toJbIa/Zhjs13b/hZ/rjWdXzMYLH7S5fl2RhDhkqVmRwL4qIkoTgKXoEBq0trSIAnvau/DDNP3mjpXW/d5Lv9UbL33WpgA1RZLBkOVmNQL76itBg30lSpPX4VmqnqBBm514Ant+p/em/qqaXurr1xeNxp5dse2xxYPA1iKrENhX5YjSJEu3KMvl7FRP0KDNTiuBzfTXNIM9u+K6C+/3Xk/Tx72XzcZjvSGRFQjsaLB5aF482U2S/jv2dWnjptq4/ig/5WRnqwZz6eNa/jipHjx/Zp89+fBG6Z1hsh0csJ9tn+xc+lj/Px2FR7TK2gusAlvQOtLtOZ2zUz3FpNGRu460eALLYwR23zbH0qdOZAsnvsBUFW8FNkpMNj6ubDywG/33s3OGNVZZicCqe0sCOxq4u1t7gVWVs0gtJSww6facydmpniLShFvBHb7TM0WLLzDTa/j8jus6/Pqi0CBYfIEpVZkq/mjQv52mx7tGCcHGODEb+4kz1GSYdFdg6TDQ0/DSj513c4FJJL7Aavy1QC0lCpNvz9mcneopHk26FdzdOz1btPgCM52HZ0BgqoliBeaaLtZD/oZqou3pjZMd+1V3LnZXYEeDPW/rZGfzwB2CwE6hiRZuAVies1M9RaNJ/wjSzt7pGaNFF9hTM43eE5jQRPrYAlN2upWNgZkEdbzZyN+xVlMtthuZFFRDLe9WzMy3d/BWkrjxsoOBarw5yRzfVaq89siC9o528xG2cMdcZ7uDVOGtS49vqq9Xb+u9o6ABNk62s+KXuxD1uF5y+Z3DymW1oC/fTstlCxJdYLX+al1JicLEdZjl7FRPsWji/4ZIu3qnZ40WW2BPL17Qg1/r3wIbJltHgcCCrXCXE9jGvbzhUyewq2a8zEhjaF7+xHVK2nG0PfP+rUGSNePCHXOdnR2UCcztrWmrDVX5hlkDMhCYG9cz5wSXdaN/2+WyBUFgp+Faw4qcneopFk38R5B29U7PGi2ywB67x5jXXmDjZPMwsJRq9ezVbygD5Laq69fLBJZsHboTzdiZGzA72UluHKaTh4k7aPORO6i8Y66zvYO2TCvy79QdPPFsmpdJ3drYdpGGAlP0e/oOzcwUn6icpWAH5krBZYO8+mXkTBGYKE20cK1hpH34EaxrYq7EodfiyB77WvNZiMZJnsBUTW7q9epGqpsmubVmCawYULMtNqWXreLkkd3h2jrq2NKOuc4uDhpbvVXMlRd5O98dCswN8tnxPZ/oLmWabcFlgyCw03CtYaR9+BGsa2IK7Pn93ovZgFf2/NeaPgdmquxCYJNfXB0k/Z/WbKSmzfJ+8Xq6wMweXfVnXtGvJ/vuZHMxZw+tk/KOuc7OD8pbYBsf1d3eZN/1RW6nddPov/3jL3cTK7Ct4lJFozO8bBC6EE/DtYYVOTsdRLFo4j+CtKt3etZoMQV231s3ar1X4jBNoFL1/MTvNvQ2xgNvJGiWwLYteSuf/DG2Xsii3nSjUloQ5R1znZ0f5Apihq02fnVYLdKWRdj+wEBgx7uOuFcqdKHp8LJBENhpuNawImeneopFW4K/OnqnZ40WcTX6x/66h8/v9F5c27UQ3RSMUvtinHib+cYo8bvp5hJYNq9+bLwwRWDlHXOdXRZYqucQqtwoKWyUn7ZXFpientG/duuj/YrACleFlw2y5gJjGv0ZpSGwNaXFE5hbfl5HD3t9s8ar0Rf1u19B105DfBD4q3kLLBymCgQW7pjr7IrAFOufb2ZTB/N4AtoqCUwPrR2mxRhYbQts+tgaz4GdhlsAlufsVE/xaOL+6uydni1avE9kflocY+ZtfPOuevWaUPtrhQLLB3+0s4INs/TGRtAEmVNg/iiWP5/Re0y6dsdcZ4cCU5k8TMKhqnynaWoGAsvo9uFsjxiOgSWV+fMu6y4wlpI6qzRpf3X3Ts8Ura3AphmsJW3xrG4x32x9Q/M12Mhm6RWZS2CleYQWYfokHW9Us2Ous0sCy3oby3Mthpl/zIq+tQIbJ96UxJE34bFatiCshTiTtxgry9mpnmLShP3V4Ts9S7TWAqs3WFvY4lmdwI4G5qEn21kYbIwq9fd8AlOQbc1wT3JtPsqeLPOfuyrtmOtsX2CqaHo54kdmscagVN5wlr6Dmi5E1WarCMw+B/akWrYga78aPR+nAg1ad2jtBVZnsNasxbPCj1MZJ96yE95GOJSU2r3TV+IoXOD6KO1aGmO3Wob++JOhei9f7SLcMdfZgW7Mo9h2b9jP6T23pg7YKz/IbLL5sGjsBZe15/qXDbL+AuMDLaFB6wxtAYFVDdYetXhW+Xlgx/6nfhUb42KorKHA9OzA0mqG5slovfbgoLTeoNsx19neQX8wH5di9l5+J2gnlkaztkrT6N2Kh5VOybq1EP3HuW3OwCcyyyuHzito0NrRFhFYSWGLgBbPufhE5uHUyRHrktUILBX1V4pyoEHrBm0xgaW5wxakLJ7VlyBCEFjrCPfSnaEqABq09aUtLLCuBIGtRVYmMGjQoJ09GgJbpyCwBQINGrSzRkNg6xQEtkCgQYN21mgIjMQMAoMGDZoYDYGRmEFg0KBBE6MhMBIzCAwaNGhiNARGYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQxGgIjMYPAoEGDJkZDYCRmEBg0aNDEaAiMxAwCgwYNmhgNgZGYQWDQoEEToyEwEjMIDBo0aGI0BEZiBoFBgwZNjIbASMwgMGjQoInREBiJGQQGDRo0MRoCIzGDwKBBgyZGQ2AkZhAYNGjQxGgIjMQMAoMGDZoYDYGRmEFg0KBBE6MhMBIzCAwaNGhiNARGYqbJr9ufdcSuLE8Tgy2B1uXvW1d/CmeoWj8/NARGYmbeX7c/+1n4qqK0Dhet24Xr8E/BI4qwpGlnSTmyNARGYma+X7c/l7PQNZdLWwi2ZFqXv29d+il0WtUeUAKV04RgS6HNj0NgJGbm+nWr1HUL/X0sm7YAbOm0Ln/fuvNT6LSqlynXhWFLpM2JQ2AkZub4daup6hb484hBawmLQuvy960bP4Vuq7rCW4hVpi0IWyptPhwCIzFz+q/blLqu5Z9HHForWCRal79vXfgpTOG1hQnTOt1yXTZtHhwCIzGDwGLTuvx968JPodNtzQhybQ2LQJsDh8BIzJz66zalAmj5xxGL1gIWjdbl79vqfwqdVnWnu15j0E7HITASM6f9uk2tAFr9ccSjNYZFpHX5+7bqn0KnVY3AEFj7HA02D82LJ7tJ0n/nsG7PTbXn+iP77uTuIEmyjSInO4nL5RuH5Z1ZxslWmo6S7emlOdm59HGZePWdLxre0xyZfHgjnVqWo0F2L+9MvRcLmJY1FliHi9btwonShL9v3RaYKOxsdoAjsCmZ7CdWUyNbZW98XNnzwO7pv683nFZyzWQpBFazM0s7galL3255d9NjinKqwBL3LZgKmJZTft1mVAAt/jhi0hrCotK6/H1b7U+hy6rudtdrLNppOAQ2JSNXRx8NtCWOd4tqOdszNv443rdeGiabj/RGuWIvzPNkMLVqn13ph5ji5ed3k2Sv4W2dmplFKdqeg6m2RWCdo3X5+4bAWuGawxBYtyMsMN3WMJX10NbUR4NMINke1RAz9lANor18/8mObY8V8cxTMMppJzDt0qmNuraZT2DqsHb3gsBWQOvy9w2BtcI1hyGwbkdWYMpOtwZ+Yyq3Rr4nf8cobuSqbdP3plpt71dOLF7qobN8FOlgoBpyfheiHnK77LoGiyPrBZZJ9FiPv117ZEuzd7Sb9H+apn8YJJfvpXZ3UgzPFfxxsq2uvvG+dx0FVNmqK4tOITBXCO9WLO2y6V/cGuf9ryWbra/ATmGtlNbl71uXfwpdvtNuT36JRzsFh8BqM0y2jgKB5VuVPVZgQ9eZZ1Q0RWCu1eKGzmzVPjQvf1IIzA25GX94R9YLzAnCDU319wzwltnaHubjc2Nvt88fJz+yrcniOqHA/LKE3wVXCP9WLG1j12y7MmaCLTL7123mL3Lj+ikqTbQiFqZ1+fu20p8CAmsJQ2DiERWYbkAEmlJti736PbbXcLLvlFWSm990Oxi4ir6v20UHRi5mHG0yTHKBKRf93aHaqU/yj5wiMHO5k53khmo8PTQnKdaNQ/Vag4/3rU6T61+kkwfmgiE/H8zzS5RP4vCP9S6Xfx/KJ2Y0DbBC94tq8+qXszLzF1ln5tmrpTWCRaZ1+fu2yp/CabiV0mbjmsJm0hrDItJOwSGwmhgneSpSUujfq92TukbQLIEVsxD9QTXbOLEbk/1cYKOsYbYXHjlVYOp10H05NFc5Grg2ltrIdg/tRQr+2E2gDErkCcw/NrucvTst4+3KiZY2dpou/usHga2C1uXvGwJrhWsKQ2Adj6TAhrb9kalo8ourAzOqVNmTZvW2J7BSm8N7Dux2fta3f/zlbmK0ZE8bZQKr9LkVR04VWChPKxUH1gLLkcFG9kb5Op7Aqv1/ddPovRPtWxZgCzmsEM5qF+Jqx8DW9/u22p8CXYgtYXQhikdQYCPXiPHbUk9MH2J1z3hghpZO60KcPEzyYbHjXeeAQkv5JI5wFmPNkWmdwPwHzSoCy5H6vICfC8y7jiew6ozKQmDX7tWc6AvMuKvag4jAVkDr8vcNgbXENYUhsI5HTmBuCkZJRXbwq7xn5Lx0+hjYKHtmS0ugf+3WR7p9k7XXPIF5Vb5/5BSBWUOFArODT57A3OFWYB4/6+DzrxMIrKKf0t3VnJh/1V9qZtSv7yxEptGvAa0hrNN3Gm9SfnOWMG2BO0VglYwSXwhZdN1d2fMgb1cFsxD9eLPts4l5W4dpaWSrtgVWe2RanYUYtpRqBDa9BbZVuc5pLTBfYHUn5l9PdjYPqz2ICGwVtC5/33gOrBWuOazLAuM5sKUJLB8IqhHYZFgsMJWtvVRZg8lrALnBoXzpqVPGwEpH1gnM7ArHqioCmzUGtlW5zmljYJX5l6UTi6/D/j/uVx92RmAroHX5+4bAWuGawxBYt7OsxXyH/hy+YI+b8Je9d+pKHLYTMTtinBTz+KqzEP2WlTmyXmAPTAlG+eiTmcRREljtLETzpSQwW6LqLMRR9c6zglRP9L/+aFBdk2MRgcmOcDSmdXkUocvfN1lad0Zflk4TFthUXBuWMK39nSKwaXGV9dHAPGRVdBbme0aev7SDNk5ZC9EuAmz73fSDWu5Rq20NLz0HZqaMBEfWCGzy+U1bKNUC2nyUPatWFZh9Duzbu95zYHZKStCFmJVo7JwYliW88+KegxMzcdlj9NBcdb3ENV6NftY/OmWHJM5YRRyL1ub7Fq2VI9swaQObhmvHEqa1vlMENi1ZZT22fYb9vdIeb+6ErrmPvdXop6zEYR/OcrzNh66po1NdiWMrDY+cshq96xx0kwP155hUBVa7Eof/lFZQIrvUY6Us4ffEJTjRnxLi1oqsjKEtJLAW9ZMsbfo/OmX/QSxdc676+7aWP4U/d0Fg03itWJ0WWOs7RWDTklfWx/6nfhV7xsWAmKm57YKDh/aAWoG5eRxugUHXUjl4a/paiN6R9Z8HltnEroV4z16jIrDpayFupeXrmCUUM4HNWAuxemJOM4C01ELN0v4TmWXrdWHntIoorcvft7X8KUj/GCRx7WD1uLYsYVrbO0VgZEmp/Uyx03/dulyhTEHJ9uicwYq4yz+FKK0c2YZJW1gdrj1LmNbyThEYWU7yR+OCtBZYy/pJllaHS0Vrp/a0Ln/fOv1TEJaELK32XheJIEqY1u5OERhZTg5qPxdsjl+32gpAtF6XrO1a/8NfnNbl79t6/RT+LN2UWKRwZd5CrBJuUZYwrc2dIjCyjAyTuikccwmspgpYqH6SpVXrzoWyzKquU9+3tfopSP8YBEu3IMsDSpCEaS3uFIGRZeSh/jiXmsz361au6kR7TaQqlFTm71aS1uXv21r8FIQq4yUpR8w56ZdfiqGEaU3vFIGRmJn31y2v5MQqFDlaThSLHK3L37eO/xRkJXF+lLNaGgIjMdPk1022BpCldbkK6PL37fz8FKBFoSEwEjONft3Ozp8ZNGjQlkFDYCRmEBg0aNDEaAiMxAwCgwYNmhgNgZGYQWDQoEEToyEwEjMIDBo0aGI0BEZiBoFBgwZNjIbASMwgMGjQoInRliew57+52Ou98PNl4ctBYGsRBAYNGjQx2vIEdr+n8sIHy8KXg8DWIggMGjRoYrSlCezri73/9NmS2HVBYGsRBAYNGjQx2tIE9rTXe3NJ6NogsLUIAoMGDZoYbYkCuxBt/EsHga1FEBg0aNDEaAiMxAwCgwYNmhitmcCeXem9bmYXvviz7K3fvas2e3/5N2a86/md3pufvtHrfff/6ZkYh5WPeDnVh1z4vtr+9Adqz2u/bVKEaUFgaxEEBg0aNDFaY4H95zvWTS9ZH/265/Kinm+o9PTXZvLh/5cLrHrEf7pvt1/44Nee5hYNAluLIDBo0KCJ0RoLTLWYfm+s9LJ+43Gvp1tS37xht5WetI6++VnRhVhzhH5DE75rUP+UyXCxILC1CAKDBg2aGK25wIy40vvGT2r75WyHtpDWk5t76ARWd8TrZZTE02IIbC2CwKBBgyZGaywwJxsrpnymhvKS3uG+6Lhd04+4n+15LNKHiMDWIggMGjRoYrTGAnvZvbwfdvzdz/SUvVuZhVg+Im94ycxXRGBrEQQGDRo0MVrzWYjuZdHx96ff/c//+r1epqdMcL6Wao9AYOcxCAwaNGhitMYCy5bXeGz988n3skmG0wQ27QgEdh6DwKBBgyZGW6wFZuYU9v7yr//b7+9PEdj0IxDYeQwCgwYNmhhtAYG99Fk2Rz71RrhKApt+BAI7j0Fg0KBBE6M1FpibgmFUVszIcNMTKwKbcQQCO49BYNCgQROjNX8OzDbBzCT4Qk+Pp4yBzTgCgZ3HIDBo0KCJ0VqsxPGfP0u/edeKzHUQ/u4NtyDU1C7EmiMQ2HlMk183M/NH7MqiMOE/WtmydflOoUETpTUW2P990U4ptMtpvOEmGL72T2YJjqrAph+BwM5j5v116/lZ9KKiMJ8oRxLidflOl0UTgqVnqVo/P7Tmkzh06ytfQf75b76nWlav/W/3iHPNNPqpRyCw85j5ft165Sx0TVFYmSfJWhjX5TtdJm1hmAcUYSHXWLTWsxC7FgS2Fpnr163ir4VqAlGYsFxly9blOz1H/yhZE7meDVUjMBIzc/y6VavhRf5CRGH1PEnWArgu32nH/1FS5i0GS0VhtINnBoGRmDn9162mplvg70MUNo0nyWqN6/KdCtNki3ae5doxVafNYQiMxMyaC0yUJlu2Lt9pt1vVy6e1htXxFoF1uQO8nVwRGImZU3/d6iuntn8dojBhucqWrct3eo7+UXKeOnJlb7SlXBEYiZnTft2m1CYt/zpEYcJylS1bl++02/8o6bbA1o3WGtZWrs0E1uEgsMY5GmwemhdPdpOk/459fbKTmFz62Oy5qfZcf2SPn9wdJEm2UUSdsZ2/tKepY/fzN4NEFZgobDZPkrVy2rkSWBxaKxgduaefhsDObZRjrMBGVlkbxj1HA09gD+zr/vt6j1Nbpqg86n17gC8whXF2DHPKr9vU2qTVX4coLKZcV0zrtF1FYchVnNYKNo13+mkI7NxGecs45mjQv52mx7vJln53bL+k9rXZs2+lNUw2H+mNspi02Layl5nAhpd+nFktCAJbStm6fKcIrCXsXAmsLQ2BndfoppZx0dB29h0NnKbyrj/VRNvTX5Wh9vL9JztlMal33rIHFgI72dk88ExYBIEtpWxdvlME1hKGwBAYmRZlp1sDvzFl5TPZL/yU68hIbeSENNIbqtXmH/Z/rNyKM8bJdtEa8xNTYKewZHW40rJ1+U7P0T9K1lWu66xqBHZOM0y2jgKB2S3VdPrX3SS59ig8dlv/x7ayTB9jSWAfO7sVylO7sxOCzP51m1UB9BrXxKfQOiyw1dIQ2DJojWEIbB4aAjufGSebh4HADgbGN9kcDl8+ptcwb5qF2kuttVxvYyYwc8y4bhrHq1/OyqwKwGTm2U1pjWCn4kRhK6XJ3mlUWkPYKThRWmPYTFyHaS1gM3CnnYjAzmWMkzwVDZOkf0+/GCfJjcP027uJN9JlmlezBeZGyDKBmW7G6mhZisCWU7Yu3ykCawlDYPPQENi5zNAOZGUqmvzi6iDp/zQtRrq8uRxjIzNPYKWxLWutoT7RCWyyX54Pkqc7XYiMgbXEdZnWEEYX4hJoLWB0ISKwRhmZ3r2wLfVk4HcbFv1/40Ffv39KC8y2t5zAjgZuRn51GgcCW0bZunynCKwlDIHNQ0Ng5zBuCkZJRcGYVd7OGrnOxNMEZk53L92T0eFIms0aT6Nf37LJ0lYrMGFJiBZNuloXLZowTXgafeuiIbBzmEIwfhspMFO28SAfDAtmIfrJBr6G2dT5bDWqJKk+CrbGAuM5sM7TGsPOartkhbRWMJ4DQ2ANEggse1zZOCvfsJqaDN0CU6mbmOF9zZMJ7GSn/w/mZa44f7K9CwJbStm6fKcIrCUMgSEwMiOulTXM521s5RtOZEOvV3HGShz508uXB3Y+h+s5rFnRdxGBNf8Zz6Q1zuzCdbdssrRVC6zT3XRd6ViLQJuCa8eahjv9NAR2fuMEdjTQM+cntrPQbhzvGnON/FExZaONKWsh5gsgmi5JbwmOUeXgrnycSqvfF8miCZety3d6nlo5wtW6aNGEabW4tiwEhsAaJxvnctfhwwAAIABJREFUGrs15027yXUvXnpUGcs69lajL6/EkQH13lEx8nU0KE/jWEBgkvV6u1+XWYXratm6fKftaF3pvGpCawlrXa2vjNYaVoub4ywEdn6Tz9o49j/1y2zc0DvGSSCw9PiuenX90J5aJzDlLm9MLTWtttI0jvafyCxcr7fK9MJ1t2yyNFo5bXBtWfW4DtMWgNXg5jkJgZGYOf3XbUp9Ilp1tv5tkSyacNm6fKcxaC1ZMXDtWXW4DtFSSValcHOdg8BIzLQWmGC9nnalE0a2bF2+025LQrRoFd5CqGrpOkVLJVkhbs4zEBiJmTl+3WqrOsG6c7FfFdnKbrll6/KdLljhSbKquAVpwtW6aNGEaTlQglTQ5schMBIzc/26Vau6DlV2ovXwkssmS+tU51WnJZGuulqPSUvTL78UQzWmITASM/P9upVqOqnKLu1iZbeUsnX5Ts+HJFZbrZ8fGgIjMTPvr1suLrE6RbRyEq7sRMvW5TtFEtBkaQiMxEyTXzfZuu4M/dFCgwbNBoGRmGn063Z2/sygQYO2DBoCIzGDwKBBgyZGQ2AkZhAYNGjQxGgRBfb1xWIO0pv2rd+9q9678Npv82Mqb8wdBLYWQWDQoEETo61SYM/vZJuv2yOKN177rCkdga1FEBg0aNDEaIsL7BWVuQ78+uJLgZaeXel994fqnT/92hns2Ru9C3/ze/XGby72XmpqMAS2FkFg0KBBE6MtLLBXXpnXYGWB3c8t9bj3wgfBG9+80Xu5YTkQ2FoEgUGDBk2MtqjAXnllboOVBPb1RWMtned3dBPMe0O9vvDzZgVBYGsRBAYNGjQx2oICe+WV+Q1WEtj9bORL5U96x2PvjWDvXEFgaxEEBg0aNDHaygSmWl1vBrvDN542HQVDYGsRBAYNGjQxWlSB5ZMQlZyeXSl1EoZv+P2JcwWBrUUQGDRo0MRoXRKYrywEdjaDwKBBgyZGW9kkjud3aIGdwyAwaNCgidFWNo2eMbBzGQQGDRo0MdrqHmR+7D3q9bT3/c+YhXgegsCgQYMmRou6lNS058CUrl7mObBzEQQGDRo0MdrqBOYtvPFJz+jqfu9Ft4ovK3Gc1SAwaNCgidFWKLBsLcRv3nVrIT6/U6yF+GKzKRwIbE2CwKBBgyZGW9Fq9EZlqp1VWo3+XVajP+NBYNCgQROjrVJgafrpD/g8sPMVBAYNGjQxGp/ITGIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQxGgIjMYPAoEGDJkZDYCRmEBg0aNDEaAiMxAwCgwYNmhgNgZGYQWDQoEEToyEwEjMIDBo0aGI0BEZiBoFBgwZNjIbASMwgMGjQoInREBiJGQQGDRo0MRoCIzGDwKBBgyZGQ2AkZhAYNGjQxGgI7PzmaLB5aF482U2S/jv29clOYnLp4/KedHJ3kCTXH5Ux6ozt/KU9TR27n78ZBIFBE4v9ZIvzQEvPDa3p9w2Bndsox1iBjayyNox7jgaewII9Tm2ZovKo9/vvZy+zvQrj7BgGgUGTSvbZTOeHJoNbB9rcJyCwcxtlJ+OYo0H/dpoe7yZb+t2x/WIS7hkmm4/S4/2KmLTYtrKXmcCGl36cWS0IAoMmlJ5o1bkeNAncetDmPQOBndfoppZx0dB29h0NjHyGXtdfsMftP9kpi0m981ay5146gZ3sbB54JiyCwKDJpCdada4LbXHcutDmPAWBndNM9pNbA78xZeUz2a82nOyekRPSSFtNtc3e93b/Hyu3QmDjZLtojflBYNBEsi71MAJbLgyBndMMk62jQGB2SzWd/nU3Sa75UzXsnqFrZZk+xpLAPnZ2y6U1VLuzE4IgMGgi6S2v6uw0bVHc+tDmOweBnc+Mk83DQGAHA+ObbA6HJx+7J2+ahdpLrbVUe24vLQRmjhnXTeN49UtCBBJWdueHtihufWjznYPAzmXMSJanomGS9O/pF+MkuXGYfns3n1iY7ZktMDdClgnMdDNWR8tSBEaEsj7KkaV1WTkIbIEgsCYZ2oGsTEWTX1wdJP2fpsVIVzaXI9/jCaw0tmWtNdQnOoFN9ivzQbLQhQhNJGFld35oXe70owtxgSCwBhmZ3r2wLfVk4I9Z+f1/Zs8pLTDb3nICOxq4GfnVaRwIDJpIRB2xPrROK0eUNuc5COwcxk3BKKkoGLMK2ll6z2kCMwe5l+7552AkzQWBQZOJqCTWhtZpu4rS5jwFgZ3DFILx20iBmaobwSxEP9nA1zCbOp+tRpUk1UfBEBg0oUg6otO0dVGOqKvnPQOBncMEAnMTCK2m8g2tqWCPnZiRpvnXPJnATnb6/2Be5orzJ9u7IDBoUpE0Tqdpoo7oNI2lpMj8ca2sYT5vYyvfsO4K9sxYiSN/evnywM7ncD2HNSv6IjBoYpE0Tqdpoo7oNI3FfMnccQI7GuiZ85MHZua83TjedbM8vD3KRhtT1kLMF0A0XZLeEhyjysEIDBq05hGVa6dpfJwKmTPZONfY9ib2TbvJdS9eelTZc+ytRl9eiSMD6r2jYuTraFCexoHAoEGDJkaLKLBnV174IN/4+mLRd/pmsOkd1CQIrHHyiRrHN5Wksg/6Mhs3DtOaPXeVv64f2lPrBKbc5Y2ppabVVprGgcCgQYMmRkNgJGYQGDRo0MRoiwvsbZW5DiwJ7KXPvH1fX2zprTwIbC2CwKBBgyZGW1hgb789r8EQGEFg0KBBk6MtKrC3357bYAiMIDBo0KDJ0RYU2Ntvz28wBEYQGDRo0ORoCIzEDAKDBg2aGG11AsunHWqTFZsvtywJAluLIDBo0KCJ0RAYiRkEBg0aNDEakzhIzCAwaNCgidGYRk9iBoFBgwZNjMaDzCRmEBg0aNDEaKtbSgqBnccgMGjQoInREBiJGQQGDRo0MRoCIzGDwKBBgyZGiyowb/15fzV6pTIEdk6CwKBBgyZGQ2AkZhAYNGjQxGh8IjOJGQQGDRo0MRoCIzGDwKBBgyZGQ2AkZhAYNGjQxGgIjMQMAoMGDZoYDYGRmEFg0KBBE6MhMBIzCAwaNGhiNARGYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQxGgIjMYPAoEGDJkZDYCRmEBg0aNDEaAiMxAwCgwYNmhgNgZGYQWDQoEEToyEwEjMIDBo0aGI0BEZiBoFBgwZNjIbASMwgMGjQoInREBiJGQQGDRo0MRoCy3M02Dw0L57sJkn/Hfv6ZCcxufRxeY/du1XBnOzYY01GyXaaDpO9+UvhnX40sNdOLnuXLGXy4Y05oH9QpO3ilLcU89q9ugNNeediBrc5LeOk/P1BYNCgNU9PRw7X4TtFYC0z2U+swEbWGhumfs4kYmrrYI/OsFJBL0VgiStZTaqKqD0oKQSWUzdqBGTKOxcTgUGDFonWyyIF7OydNqYhsCwjp4mjQf92mh7v2rrXr4LDPUp5w+Q0gZm0F1jWJBwU7adS5pLNKNnKBag9/Sg1jclpZyIwaNA6ROv1pA3W1TttTkNgLrphYnwxtLI4GpgKeuipI9xj+hPjCEyJYJot5hRYcRPjrDV3stN/fwEmAoMGLQqt1xM3WEfvtAUtqsCe/+Z76kfwVz/L3/jduxd7vQuv/Tad8c6cWfAnqxomtwZ+R52toCf71VreVd2qxXbjwFXQqm32fmm3TdaF+OStfOzs+K5S5TXdCFL1+/bBINlQpz65mQ111QrMvVkc5U69bPoCt8Z552fhi+O7as/1R6nrQMz3FMcoHzuJ2ff05VR51XdCH54N/iXmiGqh/6FSJHWbB2+5a6apOqZ/G4FBg7ZoENiMxBTY1xfdD+HFD8z28zvZT+W1z9LSO683hS/4kx0mW0eBwOzWyc7mv+5mVXewJx1t3MtbGKcJ7CeFQ9wQVF83ysbJj2y774GTxdZMgXlHuVM3dp1szDlKPXlTb1xcJhRY2JizjcOhEaDW2BSB1RT63ytFGiZXi+HCoXn5EwQGDdpi6fXkDdbNO21DW1xgX6nMdaCy00u6ZfXpG72X9fazN3oX/ub3afqn31zsvWQM9uxK77s/VK/+9OvmBlvsB6vbMIHAVANC19b5jIe98h532nyTOPSwkz1PeeHGYTp5aKr5seu1HCd9PSfwQMtiSheieuUf5Z1q3bGXlud/XP8inTxIXAur6EJUBei/80VQPvWWPlFDypM4lM226wttLhYUSY8IHrrbVDtu144RvvolIaRBSgJbdXE6loUF9tVX8xrsqdOU8tSFn6sv97Pt9BuntOKdx70XPmhWjoUEZrrSPIGpmtfUzLq2VlX3t3eTrIWV70nt7vkE5vocFT/rwXOmsFg3uGZaUDUCmxwMLKY4Kj917NpjxX8dfssVdysNBaYnoehZ9L/6wl5iS//nambOssCy86uFNocHRRp6Y4h2h3ofgRGyUBDYrCwqsK++mttgj62lUi2q13WHYuGory9qpXnvqNZawybYQgIz9W0hsMkvrg6S/k9TXwTbpT0m8wpsO9uRj6mZi4296fHf/vGXu0lZYJVp9NlR+am2BPakYrJI3pk4dp2D/iTGiZl9kiTXD/WBxlq3Bnu2RCWB2dNrC52XMy+Se6ZAf8uyCSIjuhChQVssdCHOyoIC++qr+Q32NGxVPfYVZZR233vnT581LMkiP1jTNkrDMbAnA3/uoK8ab8+8AjPHaw/YAaZsqCin2lZRMk1g7qFj76iSwMwlvDPzGYb2vVFlFv7n+mFmIz114PDSv+1s24NCgbmhvdpCW7JfJOdpKzBbFCZxQIO2YBDYrEQU2LMrdszLRrWx3iz26e7F8J2mWeAH6+rpUGCBs/Kp86U9jQWWT41wLsjmgCRJ/9qtj6Z0IeabxVH5qePicTWvMDlkmsBUjnesrPZOdjb/Y3/LNrMCganC7rmv1UIbclAkT2DZtwuBQYO2aJiFOCMRBaaHuvQs+v9mJOYGwlx072H4TtMs8JMdJX4FnSXQx5SNFgLzp+W70/VQ0WE6fQzMJjiqLDAloUPvcbPpLTCvAMbDR4Nt9b906GYV+gKzEzjCc/wr6g5Rv0i0wKBBWwINgc1ITIGlzz99I581/+yK36HYHYHlw0daH95Y0lYa7Enzt8uZOgammyX+THfPBVYQpsUzVWDBUWWBpcP+P+4X150+BuYVwOyb7G8eqHfGl/6lmO6Rd0tuVc5JA4GFRQoExhgYNGhCEfdXZ++0OS3iJA6b3+mHmZW7qi2w53dWJDAX54us3jZfh3ljZK+0x2RegdkHx/TBo3zsysyHCAQ21gsWniowc1RFYPrpLK8s02chjvJWpt03vPRjPQPzb//eSMoTmPfAWH2hC4HZInkCmzELsfL9mpGz82cGDdoCkfZXd++0MS3iNPo831zpvd6lMTAX54ujgXno6UH2BK/aON51szy8PSZzPwemH5BK3HNgeinC7Gkprwtx8jCZKbDgKE9c9hg9TuUNdNnnwLLp/+XnwG4fmpU6zD77WJd+Nz/S9S36z2ZXC110IWZF8gV2pCf+q+8UAoMGTSCi+ur0nXb2QWavyWWeCKvOQizm2etDvt9sHqLcx6mMk2LZiax78dKjyh77Rt1KHHmH5F64Eof5kBK3RIbZKCxk58o/9IaP0ppZJcVRwfwPO9U98Qeq/JU4ap8Dy/cpwFaxFP/IPk+gmP8jv4ut2kK7B5m9IvkCc983VuKABg3aEmnxlpLyGlhGYDOfA1NGe7lCmBnBzwM7vqlqd7ekn924cZhW96TzC2zPrAzoGGZZwXv+6WZd4Mu3TdNnusD8o4pT/zDI1BMeXKyFWH0OzK5faJfjcFM1cvtsO2YgsJpC23L6RQoElh68xVqI0KBBWy4t4lqIxeoa1k73ey+6NXurK3F80ms6HnbeP5G5dqp894LAoEGDJkaLKDD9HJhe6fCbd62dVJMsXwvRLu+brYWojoi8FuLap27Z/C4GgUGDBk2MFnM1evscmMoF25f4/N3yavT5EdFXo1/3HNRMJ+liEBg0aNDEaHE/D+zTHyg3fbdYjqP66V+f/mA1nwe23hkmyXo0wBAYNGjQ5Gh8IvNZyMN8ikjXg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQxGgIjMYPAoEGDJkZDYCRmEBg0aNDEaAiMxAwCgwYNmhgNgZGYQWDQoEEToyEwEjMIDBo0aGI0BEZiBoFBgwZNjIbASMwgMGjQoInREBiJGQQGDRo0MRoCIzGDwKBBgyZGQ2AkZhAYNGjQxGgIjMQMAoMGDZoYDYGRmEFg0KBBE6MhMBIzCAwaNGhiNARGYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYrSIAnt25YUP8o2vL+qNry/2TC781W8XpSOwtQgCgwYNmhitGwJTeXNBOgJbiyAwaNCgidEWF9ifVeY6sFZgL32mt/706563r1UQ2FoEgUGDBk2MtrDA/vzneQ02Q2Dp8zuLNsEQ2FoEgUGDBk2MtqjA/vznuQ02S2Dp/d7rixUEga1FEBg0aNDEaAsK7M9/nt9gtMAIAoMGDZocrRsCe/7rXtYUaxsEthZBYNCgQROjrVpg2STEFxedR4/A1iIIDBo0aGK0rgjswg8XKscqBXY02Dw0L57sJkn/Hfv6ZCcxufRx5bDJ3UGSXH9Uh/pc7+q7fcNku3LAqPze5MMbdW/XZvLhW6pE1+7NPqrCOtnJb+JoYO8quexus/YqN2bQERg0aNDEaN2YxPH8k4trOwY22U+smUa2bt8wtX1W1ed1f36YU1thNp/kYhQyl8DGyVbd23XJ7bNRvfSsS9QJLHE3UxNbomlBYNCgQROjdWQaffp00UGwlQls5Crzo0H/dpoe79r6u1KNZ4cpL20+So/3qwZQZrt8W7357QNrsDqBVTJbF360QXXT7snu3Kdk5fIEljU2B1MLh8CgQes2Tfd5CeLWWmAiDzKXdrbJqgSmGyWmVne+ORqY6r5sn/wwt/9kp/9+iTTMnTYy7TNhgY0zfM2lZ6ZOYIpW04Sco0QIDBq0FdPsqI0kT44VX2Bz50wKTLVrbg38xpSt7if7oSSKw0aufjc9darVlh/mzOaO3jYCO9pNkuv6rHGyfTBINt63/XvHN5MkuXo763Tcyrr9ntzMh6eGyd7BW8FQ2ygXizPj8d2kOECP312+nRfMZ9UKzL3pXdEW8bLpX9wa592qJZshMGjQVkvL5h2I4oRg6boKbF27EIfJ1lEgMLt1srP5r0oJ1x5VDlNmMe+YhoovML/B9a098keDbLRpbF5vHjrt2WGorZLAHiTZ+/rkq6WhtnKbaWwpfVOcUTH2VmHNEJh/RVvEjV2z7c5R5dsLv18IDBq0ldLy5WeFqkwEpvLJxfVciUO3NAKBqUaIrrLz2Q57pcPyplmovbq6fpjoQSsLHLsOSG0XdeTfHephKE3yJnGMk76eYHiQ6PfVyVuHWWlMTnaS/jtf5HRVwutfpJMH5mi1oZAHRnEV1pQuRPUquGJWxLET6F4auM/l1S8JIStMITBRnAiseaIKzFt6vrIa/Vo+yGyGkzwVKW2YKl3X5jcO02/vmqrdP2yqwKojU0NvbG1sQcYuwZGewFwTzppwGAzMmRybxtG1X1mJZZ17Q/3VbRjrVFg1ApscDCpXzIo4du2x4r9+EBghKw0Ca5lZAvurny3or9UIbGh79DIVTX5xdZD0f5r6etgOD/MEFjZO6gRmGAZVjCmZFtjGR9lBpWn03/7xl7uJFVhxcpbJE6MwM6qWN/g0OWj9VVizp9HnV8yKaEtkTxqWW5V0IUKDtloaXYidzCoENjJ1dtiWejLwK21Tq/uHzehCrAps216kJDA7YLXxK08Xbm7HbtFv6Z/s53P9MLNyS+5LbZpAnhVWncDc09D+FUOBGXdVexARGDRoK6YxiaOLWYHA3BSMkorG/hNeup0VHNZoDMwXmDd3MdXzCxPTSekLTNulf+3WR/uzBKZyvGP6IZ1brMA80VRYtWNgbtO7YlbEcfEgXM2MegQGDdqKaUyj72BWILBR3p/mT/ALKnm9ER4WzEIMacUbYy2n6QJTuvvnm3bSYCEwZcAtfeFJvcC8VpZW7OwWWMCaKrDwiiWBnexsHlZ7EBEYNGgrp/Egc/eyaoHlLShdyXsjTFslz2UKqqzY5A+KmRGsWQJTmTy0EwEzgWUWOtmpFZjXwguGvWrHwALWVIGFVywJLB32/3G/+rAzAoMGDZoYDYEtnPwBL29an9vwzeAOm2cljmwmfL3AMtMZYFVg48SbIOg160Z5M9GfeBhsjOzrEutUgY29tqD/9UeDav8lAoMGDZoYDYEtnNxMut+veLBKbRzveuNh7jA9h3D2Woh6hQxvLcSKwNyihgqRz+4ouv1Uu2yKwPRzYA7vSnj9i2yiv30OzM4/qbBO6ULMrliIq1i0uLoWFgKDBg2aGA2BLZysVh8n1aUtLj2qHHbsrUbvr8ThzekLVqOvdiFmcwH1qvJHxQId7vqbD8v9j2W8LWHdShzeQ9EFa/okjuCKWRGzVR+V3mrWXERg0KBBE6MhsIWT1+p6icLsw7zsxo3KGlNptgbhoX0vrOOf3Kx+HljNGNix/tgw95FcfxhkAsvWMzRNoLpZiBO3cqFbjmPmWogea7rAgivms1JMidLsIYNSEBg0aNDEaAiMLCm1H1KGwKBBgyZGQ2BkOak+ma2DwKBBgyZGQ2BkOTmo/VwwBAYNGjQxGgIjy4he1rjuYzMRGDRo0MRoCIwsIw+T/u269xEYNGjQxGgIjMQMAoMGDZoYDYGRmEFg0KBBE6MhMBIzCAwaNGhiNARGYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQxGgIjMYPAoEGDJkZDYCRmEBg0aNDEaJEF9rt3L/Z6F177rdl4duWFD9z79uWzKz2X737/s4ZkBLYWQWDQoEETo0UV2PM7maBe15szBNbr5bvmDAJbiyAwaNCgidEWF5i2zXxHKj9994eqZfWnX1uD1Qgse+PTi72XGxaj2eFkNUFg0KBBE6MtLDDbXprr0Pu9l1zH4ONe6KuKwNKvLzZsgiGwtQgCgwYNmhhtUYFlPX5zHOo56fkd3QSbJTDv5ZwFaXQ0WVEQGDRo0MRoCwqsGLM6/dj7duTL5E+6KTZLYE+bDoIhsLUIAoMGDZoYLZ7AVKvrzfCd6QJ7/gljYGczCAwaNGhitHgCe3blws/L7xSn98qzEF9qOI8ega1FEBg0aNDEaB0VmJmt2KwkDY8nKwkCgwYNmhgt3iSO53eqAqvtQnz+T73ykfMUpPEZZAVBYNCgQROjxZtG32AM7HGvfOgc5Wh6AllFEBg0aNDEaBEfZH7szct42vv+ZzMmcdxvvBAHAluPIDBo0KCJ0SIuJeU/m3xfy2y6wJ5daToJEYGtRxAYNGjQxGgx10IsVuL4xIxyzXgOrHknIgJbiyAwaNCgidFiCixbC/Gbd09dC/H5nabz6BHYWgSBQYMGTYwWdTX6b944bTV6by1Eb92OeYLA1iIIDBo0aGK0yJ8H9ukPZn8emD9K1mweBwJbiyAwaNCgidH4RGYSMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaHJ5T0cO1+E7hTYlCCxajgabh+bFk90k6b+jX0/2kyyXPrZHnexsueMndwdJcv1RFTT58C11wrV7dRcZJdunleNkx13y6jtftLqRmZl8eGPWbgQGTSrvZZECdvZOoU0NAosVJSsrsJHVx8bHtQIbJk5gzjPZ+0WOBklBKKeJwJRGby9yR7UZZ+WvDwKDJpT33pM2WFfvNLU3K4jr8J0isI5GecsI7GigtXG861f06r33zYvJMMneHyabj9LjzHpFtAh1s+zJ7mxVTM3JjpPi53eTZK8VYkYQGLQotPfeEzdYR++0uFcxYGfvtDENgUWKbjcZFw1tG+loULStlJNsu0l3LjoBuP0nO05tecaZ0qq75ksuMC3VagNvwSAwaDFo770nb7Bu3ql/r1LErt5pcxoCixPlqFsDvzHlaUR5JO9cvHHgBDDKv257LTRvh1Ghk5h9Tw+y2S7E45t6iMv2D/qvy1dWpTJNsGM93HbtkYXuHe0m/Z+m6R8GyWU7znasmmr5aJyW7GWDGyfbB4NkQxXgib7G5XcOXZ/oVs1VXRAYNJEgsEXS1TttTkNgcTJMto4CgXlbJzuuJ2+0cS9vwQzde2bbF9g4aDXZw4bGgFpjznd2iMtarXidXc5Xp3dM36Juma3toXlLX3bs7c5G8LZNSX5km5UPkuwamcCqV3VBYNAk8l45EtBO3ml4r0LIjt5pCxoCixLd7xcITDVd8uGnkV/PO4FN9p2yQu2lRnf9YvqgEZZ6SztJy0xvK4v8nTrnibae/zoHFAIzdHX6DdV4euggakO91hM8jvetPZPrX6STB8ZmakPxDsyhY9cpOk76uqV2YA4w5a+5qsurXxKyeCoCW3WBlphzcpvtgsBixPT0eSpSlujfC3bmOVVgev6HnkX/qy/sbqOYq+poIyYtMB9YM1AWCsyc4/VW2sac8pRtY6mNUd4m3Mplaxp+Y9tAy0b1bH+kKf/04TkERiSCwIgJAovtqPcjAAAgAElEQVSRoe3Yy1Q0+cXVgRlmMhkHEw2rAqvMs5iYuR5Jcv1QH2cMdGuwZ/muBbbxUXas99qlLLDQldZGzkC6aNk4WbhRLvi3f/zlbpILrOaqLnQhQpMIXYgLpaN32oKGwCJk5Fo1vqieZH2IgRPmaYGZfK4fZjZdfuq44aV/29m2DSj3H/2U2K+Kp87ca5uqwPyH0SoCy1tT+rygaZULzLYJk0JgNVd1QWDQJHKeBMYkjhlBYMuPm4JRUlFW/ZeaWHMKTOV4R7tmnOyd7Gz+x/6WPcPOQjx4y/jkxmHptYkvMGuoUGB7aUlg7nArMK+w43zGf5L0r936qOhCrLmqCwKDJpIl+Kujd4rAZgWBLT+jxDdElsxMpQenamchevHaQEaBR4Nt9b90uPnvxi3ZShyTf77p5gqGr9PqLMRwwKpGYNNbYM61yZZbF2vPK2/pqi4IDJpIzpPAeJB5ehDY8hMILO8xzAQ2DCv5sT+jIq2uDeX1OBqBTfY3D9Q740v/4vru8sMnD4sxKv+1JzAzgT/sw6wIbNYY2FZaHOueBvCF61/VBYFBk4m8v7p6pzqi+ur0nSKwrsYZa+hP6vP6Cl2KfrkpK3GMSssmDi/9WE9x/Nu/N2rRAss6JfUF/dcO4AnsgXt+LGsLmkkcJYHVzkI0X0oCGye2S3MrTWuu6oLAoAmFqQ3QEFjEuNr8aGCeunqQZO2WcJZhJjA9ka92LUT9HNjtQ7M8hpNMYp/lcmtybGerJZqnuPzXOcBecfL5TXuOOlcfYx9NqwrMPgf27V3vOTA7AyXoQtSPjlmBmWZh5aouCAyaVBgZgobA4qUY9PIWtqg0UvIuuGNvNXp/JY5izp8lKKVsFWvdBytx6OXq/dc2/mr0rnPQHaM/CKUqsNqVOLa8orob2nzoHns2D22Xr+qCwKDJRXZgqMt3Cm1KEFi05KrS6wT2s6UFx8kUgbkVCN1MRb8jceKWHrTLcbiVgN1QmlsLUa9teNl85Fjw2sT7PLDD/FKD7APGagQ2fS3EreAte/QfBvpL5aouCAwaNGhiNARGYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MFllgv3v3Yq934bXfTnnj2ZXe62n28oUPmpAR2FoEgUGDBk2MFlVgz+/0XF4vv/HaZ3pbCezCz+0uBHYmg8CgQYMmRltcYN9Rme9Ipafv/lCJ6k+/dgZ79kbvwt/8Xr3xm4u9lz6zR/Rezg5GYGcwCAwaNGhitIUF9p3vzG2w+9ZSKo97xk7FG9+8YcT17MqF7/XeNO8gsDMZBAYNGjQx2qIC+8535jbY1xdzJT2/o5tg3hvqte47VNb6X+5NBHYmg8CgQYMmRltQYN/5zvwGu59P0EjTP+mW12PvDbtXW+ux7UREYGcyCAwaNGhitHgCU62uN2e88VR3J2prubcR2JkMAoMGDZoYLZ7Anl3JJhjWvmH6E421bM8iAjuTQWDQoEETo61UYL6iCoGl93UnIgI7k0Fg0KBBE6PFm8Tx/M6cLTC7A4GdySAwaNCgidHiTaOfdwzMvUZgZzIIDBo0aGK0iA8yP86eUU61or7/2ZRZiG4DgZ3JIDBo0KCJ0SIuJeU/9mWGuWqfA3MPgV347wjsLAaBQYMGTYwWcy3EYuGNT+ySh/d7L7pVfPOVOJy1nva+exGBncEgMGjQoInRYgosWwvxm3fdWojP7xRrIb74QepPPbzf6yGwMxgEBg0aNDFa1NXoVTurtBr9u+XV6DNrfX0RgZ3FIDBo0KCJ0SJ/HtinPzjl88Byaz1GYGcxCAwaNGhiND6RmcQMAoMGDZoYDYGRmEFg0KBBE6MhMBIzCAwaNGhiNARGYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQxGgIjMYPAoEGDJkZDYJUcDTYPzYsnu0nSf0e/nuwnWS59bI862dkqTgk2ckzlnFLGSfWsak528tNPdhzw6jtfzH8/82by4Q3131GyfWopyvcz5Zy6IDBo0KCJ0RBYOUpWVmAjK4uNj2sFNvTtM6xR0TIFpsR6u8k9zRVbHAQGDVrnaO/pdJSGwCQiJjDlLSOwo4GWxPGubxn13vvmxWSYFO8HG96xU7yVp4XA3MvP7ybJ3hznNsrM4swUWIMgMGjQGue99ySdI0tDYCKREphuOBmBDW2zwveQaojZpobuXMyr+2DDBy1PYFqzC1ikRXEQGDRoq6K9956kc2RpKQITiZDAlKNuZWNgJn51PSo6F28cZNW9v5G30NKqwI7vKjVee2Q3DgZJ/7YzhrdjnGyrPRuK8eSmsuJlPQBXrw5Vzr3SycNk72g36f80Tf8wSC7fcxdVmOvuotq0l29PuY7tJd3KugOLYyuXti/V1Q7ecmx3jncxf28QBAYNWsO8956kc2RpOghMIEICGyZbR4HAvK2THddvN9q4V7RX/I0ZAnNDYv09exWdn5iz/B3j5Ee2AfjADXVtTW37jConD5V69ca2oZuCjP2LujG97frrhALzjq1cOhPY1Xx8z54zDspS7A2CwKBBa5b33pN0jizNBIEJREZgY1WrBwJTDZV8sGnk97GNp264hAJT8ruhmjkPTZU+1nMw3MhZaYdt46kDdAvqQGtoisBMKYOTFe/GoXqt4cf7mq30dv2LdPLA2Ext/N2hQk67jj+Jwz+2culMYMnWofv2ZOcUF/P3Bnn1S0JIkwTK6Rht5UFgfk52VO3rCUzVw/17wc48cwgsyZs3hfxMXW+H1yZGMsGOsW04ZeNvpp9wqsDU6xJVl1td1rax1Ea2e+hdaKidUncdX2D+sZVLZwIrRgr9c+zFhsE4ohcERkizILAZQWB+hrYpkQls8ourAzOoZDJO/K7FZgKb7Dv5aXhmwpHpufN2BJf49o+/3E1mCyw82drCwTUpGycLN8q3kl3HE1hwbOXSmcC2snsIzzFsf28QuhChQWsWuhBnBIF5Gbk2jC+qJ1k3WKlWb9aFGDxIlslgnA89ZeNFuViOd92bpwjMP7kisLzJqM8L2o911/EEFrY1y5fOBLZtv2VbpXPMbn9vEAQGDVqzILAZQWBF3BSMUGB5ZV+alNFMYN4jyJc+zvbos4Id3mSQJOlfu/XRjC5Ea6hQYHtpSWDucCswrzh11wkEVpl8MYfAvIshMGjQmIUYgYbAiowS3wdZMp+VJNVUYF6bxm+B1Q6s6dExt4LVVIGNKifXCGx6C6x6ndNaYPlb9sZogUGDFokmaxxpfyEwiUgLLO8xzARWmpDQuAux6H8Mx8D8jknHyQ4w8/brBWZ2hSdXBDZrDKx6ndljYN5btklaFlh5DAyBQYMmFVnjCPsLgUlEfDHfbH3DYdZaCVslDafRZ89Ae9V7NgvR21ESyzgJ+/O8lw/MaSVqSWC1sxDNl7rr1MxC9P2TXSpbjqQssPIsRAQGDZpYZI0jSzsvAnt2pfd6/vKFD+yr53eyNx/3vLxeS5gVcYEdDcwzVg+SrJUSjgs1fw5s81H2WJmZ6q7I7jmwYkfQtacf6aoX2OTzm7ZUwclVgdlHs7696z0H9mTqdVzLynsO7In/GJd6a+Mj9fXzXdu/WhFYcDEEBg0atOXT4grsws+zl5nAvr7Ye+kz86prAtPtkmIZi/LUjnqBzViJw61TkeiPLHGdlXYlDn9HxnGX3nxoBrpqV6Pfq1CrAqtdiWNrynXcKpDBShy+frJLhY+QFQIrrcSBwKBBg7Zs2uICm7s1qgTWezl7mQns/gv/JbNauKNplvB5YMc3VXWcLecXPgXWXGBu1UL3WPTBW+W1EO8FULcUYTCXMPg8sMMqtUZg09dCrF7HLKGYCayyFmKqPy/srcStz5jWCSxcCxGBQYMGbdm0hQU2/3jgsysXvtd70710nnp25aVPMqsFOxqHT2ReiyAwaNCgidEWFViDGZlKTv/rovVT7qmnvdcDZyGwMx4EBg0aNDHaggJr8kycltNj29zKPXX/ws/T+65ZFuxoHAS2FkFg0KBBE6NFFtjzO8ZWmae+vvjSZ6oV5qZxpAjszAeBQYMGTYwWWWBKWdpQmace6+mGz64U0zgQ2BkPAoMGDZoYLbbA0vu6E9F56vkd8+V+MWsegZ3xIDBo0KCJ0eJO4vjAtbecp76+aEbEnvZyayGwMx4EBg0aNDFa1Gn0Rk56yMu9LJ5dfjM8pkUQ2FoEgUGDBk2MFvVBZiun+9nUef1ks8vLpWOaB4GtRRAYNGjQxGhRl5LKHgK78N/Ny6eZt76+WF1jqmkQ2FoEgUGDBk2MtgKBKXF996Kdz+F6DosVfRHYGQ8CgwYNmhhtFQJT5tLTNjxZPc4eBUNgZzwIDBo0aGK0lQjs64taYI+LRRDVG6VFEhsHga1FEBg0aNDEaCsRmHJXviiHiXr9cvmYhkFgaxEEBg0aNDEan8hMYgaBQYMGTYyGwEjMIDBo0KCJ0RAYiRkEBg0aNDEaAiMxg8CgQYMmRkNgJGYQGDRo0MRoCIzEDAKDBg2aGA2BkZhBYNCgQROjITASMwgMGjRoYjQERmIGgUGDBk2MhsBIzCAwaNCgidEQGIkZBAYNGjQxGgIjMYPAoEGDJkZDYCRmEBg0aNDEaAiMxAwCgwYNmhgNgZGYQWDQoEEToyEwEjMIDBo0aGI0BEZiBoFBg7Zq2l+oCOJWWTYERmIGgUGD1jx/IeWcvwgiQVxt2RAYiRkEBu180ORaOYLK+Yty1r5sCIzEDAKDduZpy1PEgsAKa8HydaBsCIzEDAKD1lGajG/SalUsCluEV+eIRYrXhbIhMBIzCAyaWMSUE9afgqglKKI1cAqrdfm6UTYERmKmwa+bTHWyPjQh2BrcqfiIvyhMuFdtEWLrar0RTNg5ccuGwEjMzP3rJlSfrBVNALYmd9ol5Yi2mdrWw41grXgzYG1K15WyIbD/v72zcW7buhes0rSZydRtd9KdQJbEtDubbbgvdu1WHsnbpLt2o2TndTrKuI27cdudNnTS95LGtfPFyGmSfco4TEp5IhN/8eJ+ALgASIkEfrq8AM+ZTk2K5CEYiji6AC4IPpnz103i499GW0NZi16p9J4hUVl93TRXbd8sWR3fCa5aixfKshEw8Ml8v24yn/822hrJWvVKQ0mO6Ea/6a6avtmyGr4TZcLN8blsBAx8Mtevm8znv522BrKWvVLhYxtEZfJDJulxyYK+U2SLLl04y0bAVpdxf+tQX7i/G0Xr183l+OhqFEWX7mT3Ot7p2UuTG/3CLdkdou3s4vm79r772Q8LzPPrJvEJa6+ttqx1r1R4O52obPlDJtFInOJaePHCWTYCtrIkjTEBG0aaTd2ecV9fWX89vdsgsgFLQqVIE5WR/Dy9dx6wRGPrWISAnWarLWvdKw0gObIb/Wa7avhOli3oO1Um3Bx/y+Y5YI9eXnvaufr1K99bW1v7/rMf6WvfPLNm+fYPP1rUTMAWJemWbsy4v/5SMvDa1aFSVbsTH6VtiyeDKA3YoHhLhgpb1rg0YIPzv8gb6DDHr5vEJ6zNtpqyFr5S4R1NojIC1o5l8xywr86tPZG16dErabAe+4m6ngdsbe1bbyxoJmALooZaukUDs7Fv3FfxMf+flMjkR21ctHUq3ZKT/OT5aM9etAE73tk6SKtWgICdaqspa+ErJWC1ZQv6TpWtcMAWWt5b3/ovj/3GXk5GY489+2Fy4YMfr609F6uApdl6/9zakwsuBgFbjGSoda3vDqZMfEYmO8mtKknJIO1yGqJh9u+2HrW97jzwbyZuecBG0XY+GnM5/ddN5iPWZlstWStf6fIn5M6WiR9MJ3xoAwHTNA7YQgv8zTNPvJel6dbad/5iL97T47I8YMlIbdEhGAFbjEHUGxcCZq4Vx1nDzZtp0pIHmFGWvl4K2F1btyxag+Tm9AEFCNjptlqyVr7SVQqYeCMW8J0qW2zpQlq2pgFb7OV/ufZ0VqmvzmVjsSRd6rITMOfinBCwhRhFW4eFgB30dW+yfWC9/J52TGaTVcxebKplR2xpwPR9RtMO4/juF6cx87f41Ed2xVZL1spXWss2U1bHNlu2uO4k18K+02QL+eaQLbJ0IS1bw4DlzzHX3W8lnbqlNxeqUZezlfCf6v+can258E4wArYIeoTlpGgQRes39aXJbX2s4eWsPXMFzI7c0oDpzYzVvWUxAZvHVkvWyldKwGrLFvLNISNgc/DVuSc+StqkD+N49LINWU4WsEfvsQ/sbBmYHVlpiiavXuhH679SF8e75pj6bLpXNWClfVumWvpoexuwyb7+ZzBlKhibEE+31ZK18pWu0ibEBfeBnSxb0HeqbLGlC2nZvAbsnjqG3mwuTP9xcY9CfGLR4+gJ2AIMI7O/yx1L3dfbEMd9NfhKhmHZ6Gm+EZgZb9mAjfs988jqYRwE7HRbLVkrXykBqylb1HeqTfawC4/L5jNgj17WI6xbeipYNty6Z4r1dGEe2E+YB3aG2EMwSinS+6zSUVM2fXnegOmH24t2ZnRC5TAOAnaqrp4r6Ffqxya7aBxG34pl83kQx1fn9HZBs38rG4G5AVM3PPrjWmVsNgcEbH7ywLhjJFWmKZmaehSiS7rja5AeOm9P2RFlU8gcmAd2qq2mrIWvlHlgtWUL+k6VrWzAFjmM/l62gfC58j6we3nA9P3Ku8dOh4DNTyFg9gDCUwM2tGOzYXnPVhqw453137tzyYoH21sI2Gm6uq6gX6mobYaMgDWQrW7A5p/I7OziUiOxwlGIhYDFtxY/EQcBWxwbqUE2xOrFszchnnQmjmz28kbfHM9htxxOOaMv50I8zVZb1rpXKjzWFJVJ754Tn1W22C61U2TCO+h8LpvHU0l9mRbLzABz54GVApakbtGDEAnY4tiAFY7bGEUzDuJQNdqccS7E7ASIepOkcwqOYeXOBOwUXX1X0K/07G2yiyY+nFtcOFtWYwFPcQkPDz0um8eApRPA0jP6Omfi+PrlQsDqbEQkYAuTbiYcma2J63rclG5ezIZO2QbBI+ds9OUzcaRCdesw3/M17pcP4+D7wE7WNXEF/UpFbVNkQQRs9nBOeoOkcHLau2z+AuZMUzZnjlLnQnzqz8nVD15ZW3vsOfceyU2LHkdPwBYm28+lvgJsPf2ir0/V94FdzL/1Kz9o4+iG+qawQ/PQaQFL2uXsU4v1qK10GAffyHyirpkr6Fcqalt0NbegTPxIGukNkosH8QSZ8PDQ77L5C5izz+urc3qA9egP2U6xp9RYrHAuxMLXrswBAWsFc/66CXz8W2JbdC6lz2Vrj010yZr4qiqtk94iKTqgq7V0oSybt4C5Rx0ml03M/vmn76tZX/qc9MUTIC58HAcBawVz/7pJrE3aYVvoSN45XWG+UlFbs1XmCTLpsWGyEhbeICmdnDYvG9/IDD5Z4NdNauUUvi2Ov/hCTBX0Kz0Lm6BKRCiyRp+uamScKRMdHvpeNgIGPlno101ytY4N28mI5bCyGpZTNSnOLFu7l42AgU8IGLbu2/LV+RkclxPK0ZthLBsBA58QMGyrYROIV+aRGOJMt7V+2QgY+ISAYcO2GFkcJJro1EaisEtfNgIGPiFg2LAtjkxuXJuYbLnLRsDAJwQMGzZsYjYCBj4hYNiwYROzETDwCQHDhg2bmI2AgU8IGDZs2MRsBAx8QsCwYcMmZiNg4BMChg0bNjEbAQOfEDBs2LCJ2QgY+ISAYcOGTcxGwMAnBAwbNmxiNgIGPiFg2LBhE7MRMPAJAcOGDZuYjYCBTwgYNmzYxGwEDHxCwLBhwyZmI2DgEwKGDRs2MRsBA58QMGzYsInZCBj4hIBhw4ZNzEbAwCcEDBs2bGI2AgY+IWDYsGETsxEw8AkBw4YNm5iNgIFPCBg2bNjEbAQMfELAsGHDJmYjYOATAoYNGzYxGwEDnxAwbNiwidkIGPiEgGHDhk3M5jFgX51by3guvrfm8HT8zTPfesPez7m4AASsFRAwbNiwidkIGPiEgGHDhk3M1jxgDxLmuuNX5574qPSjvFUEbDUgYNiwYROzNQ7YgwfzFoyAAQHDhg2bnK1pwB48mLtgBAwIGDZs2ORsDQP24MH8BSNgQMCwYcMmZyNg4BMChg1bp2yPa+R8AQcsO+owLZkbMOegRALWWQgYNmwdsj2eIShc4O4EDHxCwLBh647t8cdFC7a4jIM4Vpdxf+tQX7i/G0Xr183l+OhqFEWX7mT3Ot7pxdOvZD+LtrOL5++aS5P97IcFCBg2bJ2xPf64aMFqyDiMfmVJGmMCNow0m7o9476+sv56erdB5DSrcMWSBCy9dx6wRGPrWISAYcPWFdvjj4sWrI6MicwrS9It3Zhxf/2lZOC1q9ukqnYnPkrbFk8GUd6swpWMJGDpT/OADc7/Im+gAwHDhq0jtnK/GhaslszrqaQIWECooZau1MBs7Bv3VXzM/yclMvlRGxezZhWu5CT3fT7asxdtwI53tg6m3JWAYcPWGRsBI2BLIxlqXeu7W/lMfEYmO8mtKknJIO1yFiL3SjJqe9154N9M9vKAjaLtfDTmQsCwYeuGrdqvZgUjYDA/g6g3LgTMXCuOwIabN9OkFa+UAnZ3aH6eRWuQ3Dyww7ICBAwbtm7YhANWT7aks9HblBGwZTGKtg4LATvo695k+8B6+T177sOmbUI8f9eO2NKAafNo2mEc3/0CALrAtICJ6uZ5FAFbSfQIywnYIIrWb+pLk9v6KMTLWXvmCpgduaUBG6rdaul+tAIEDKAbrFrAzhYCtgj6wI08YJNXL/Sj9V+pi+Ndc0x9NhFsvoCZA+xtwCb7+p/BlKlgbELEhq0btlXbhHi2ELAFGEZmf5e7je++3oY47qvBVzIMy0ZPcwZMj7dswMb9nrlz9TAOAoYNWzdswgEL/iCOs4WAzY89BKMYMLPPKh015TOW5wyYfri9aGdGJ1QO4yBg2LB1xCbbLwIGc5IHxh0jqZ5N9u3IK4/bvAFT7UsHY5m+cm8Chg1bR2wETBACNj+FgNkDCJsH7Hhn/ffuXLLiwfYWAoYNW1dsov1a1qmkAoGALYyNVLq1UP9bfxOiunGjb47nsFsOp5zRl4Bhw9YZm2i/lnMy31AgYAtjA1Y4bmMU1TyIQzHQmySdU3AMK1PBCBg2bN2xifZrGV+nEgwEbGHSzYQjszVxXY+b0s2L2dBpasDKZ+JIhSpgw/wB4375MA4Chg1bh2yi/UqFC9ydgK0u2X4u9RVg6+lXgH2qvg/sYv59YAsELGmXs08t1tsQSyM2AoYNW6dsovmKF102AgY+IWDYsGETsxEw8AkBw4YNm5iNgIFPCBg2bNjEbAQMfELAsGHDJmYjYOATAoYNGzYxGwEDnxAwbNiwidkIGPiEgGHDhk3MRsDAJwQMGzZsYjYCBj4hYNiwYROzETDwCQHDhg2bmI2AgU8IGDZs2MRsBAx8QsCwYcMmZiNg4BMChg0bNjEbAQOfEDBs2LCJ2QgY+ISAYcOGTcxGwMAnBAwbNmxiNgIGPiFg2LBhE7MRMPAJAcOGDZuYjYCBTwgYNmzYxGwEDHxCwLBhwyZm8xqwR3/63tra2g9+ra98de5bb6j/XzN8+9mPGrkJWCsgYNiwYROz+QxYFqvvvBFXAra29kSjghGwVkDAsGHDJmZrHrArCXPd8dHLa0/8Jfn3/R+tPRnnAbPdev/c2tNNFoOAtQIChg0bNjFb44BduTJvwb5Mx1jfPPPYbyoBS25W12tDwFoBAcOGDZuYrWnArlyZu2D39MBLcUsNtsoB++YZAtZ9CBg2bNjEbA0DduXK/AUrDbEI2CpCwLBhwyZm8xiwb55Ze+zZD7Or1U2IjY7iIGCtgIBhw4ZNzOYxYPHXP1IHG/7gX03EigF79B4HcawCBAwbNmxiNp8Bix+9rxO29pRqFofRryIEDBs2bGI2jwdxGD5Qk5lNugoBs9Oba0PAWgEBw4YNm5jN42H0GV8/M+0oxIYQsFZAwLBhwyZm8zeR2cz+0ujjNQjYKkLAsGHDJmbzdyqpRy+vPWcvErCVhYBhw4ZNzObxXIj3snlgt9SUZgK2ihAwbNiwidk8BkzNA/tJUquvX1mbdiqphhCwVkDAsGHDJmbzeTZ6Mw8s4TG1LZGArSIEDBs2bGI2v98H9v6P9Td/6ZnMBGwVIWDYsGETs/GNzOATAoYNGzYxGwEDnxAwbNiwidkIGPiEgGHDhk3MRsDAJwQMGzZsYjYCFhDj/tahvnB/N4rWr5vL8dFV58rkRj+KLt3JHnK80ytbhpHDdnJ1u3z7dvkhFY53zt+t+SJOhoBhw4ZNzEbAwmGyH5mA2QRt6oYcuFeOd/SVvC6DiIBhw4ZtRW0ELByS8uiAjfvrLyUDr13dpnE/2roTT26bmwbqylEaungyiKoB0zQsEAHDhq2ztgcKOR0BE6D9AUtSlVZq21xXERnYWA2ivfRHSV7WX1c/U1saCRg2bNgW4cED2YIRMAFaH7DJfnQt3Qem0RFJfrqnr41UqYY2V2YrYDJiu3xgf5KM2l53bXmB7BZDFbuNl7IfJD08eD7bm3Z0IyrsWSsH7Ejtebtob79/Nbnzhtkpl4wMo8071rht7L3KIxwIGDZsy7U9eCBcMAImQOsDNoh640LA9LXJvg2TvjZwaxYPN2/aS6cHbJjuEssCdiHfmzbq68vre1MebuTO7bft3jX1vEle1c9fqARsXDFaCBg2bEu1PXggXTACJkDbAzaKtg4LATvoq1oVAlasmX3YaZsQda+SoPz8MCxEB0EAACAASURBVD7QvbIBi3qH9jmSGy99rgZTeQMLATveiS4nKX1TP3oUrd9US6fvPFRXjnajcsAKjyjw3S8AYIk4AVv2oghAwMJA79ZyApYERociO8xQ7QurHzC7YU+P4GzA8t1tw+wpetWHx6UNl7ZTetOm3b6ZBLAUsOKmThcCBrBUCFiQtDxgAzNOSrs0efVCP1r/VazroAYzt9XWPidgaV/mC1i2Jy39QRorVRpnN1vWTzdg1Ww+/OR3yahrL/vBoBSwKaFNYRMiNmxLtbEJMUjaHbChbkdxfX9fb99L915da7IJMT1sMfuBm5vsRqdaxYBls8rUD9UWQ81e9uRlY+kRLgQMG7al2ghYkLQ6YPYQjNKAxY6I1PGDF+802gdW2iJYDpi9cUbA7ORpmyN1eMb6xWvv7p8QsOIjChAwbNiWa+MoxBBpdcCck2c4a/xCz3QsikchFi8VERyBFR6cDK56h7HdBzbKzhwyw1iFgGHDtmQb88ACpDsBy/ZJFQJmD7fYtvdPD46ovw/M3eB3yj6wyD2+3rQpGWSdtA8sqhw/byFg2LAt28aZOMKj1QGz2CAM3KMCh+lpOVQ4SmfiiBc9CnGYGacdMzj7KETTKRW49KlHUd7FJGbZU6gRWvERxeUiYNiwYROzEbCAsAHLDjxUrRhF6sSI9/WR6ioPm+65EBecB2YOC6kEzMwDe3jjhHlgW3fsxDSzCXHyppkUPVQPsfPAkqS9pBbNzgPLHlGEgGHDhk3MRsACIt0kN4qqZ74wtxyVz0a/4Jk4evGUgE09E0e2TXMvuz26nC/b1pvqke6ZOMzl8//mGvUjChAwbNiwidkIWEBkO730V4Cl5yZU5yw0ZzGM07MWlo7tiOucC7F45sLKuRDdgNkzG+qJ1anIbB0050I0sskNdXnkngvxZuUlEjBs2LCJ2QgYNGYw85iNCgQMGzZsYjYCBrWpHlNyKgQMGzZsYjYCBrU53tFHdAwqxxrOhoBhw4ZNzEbAoD4H9miTuQdgBAwbNmxyNgIGDbjvHm0yDwQMGzZsYjYCBj4hYNiwYROzETDwCQHDhg2bmI2AgU8IGDZs2MRsBAx8QsCwYcMmZiNg4BMChg0bNjEbAQOfEDBs2LCJ2QgY+ISAYcOGTcxGwMAnBAwbNmxiNgIGPiFg2LBhE7MRMPAJAcOGDZuYjYCBTwgYNmzYxGwEDHxCwLBhwyZmI2DgEwKGDRs2MRsBA58QMGzYsInZCBj4hIBhw4ZNzEbAwCcEDBs2bGI2AgY+IWDYsGETsxEw8AkBw4YNm5iNgIFPCBg2bNjEbAQMfELAsGHDJmYjYOATAoYNGzYxGwEDnxAwbNiwidkIGPiEgGHDhk3MRsDAJwQMGzZsYjYCBj4hYNiwYROzETDwCQHDhg2bmI2AgU8IGDZs2MRsBAx8QsCwYcMmZiNg4BMChg0bNjEbAQOfEDBs2LCJ2QgY+ISAYcOGTcxGwMAnBAwbNmxiNgIGPiFg2LBhE7MRMPAJAcOGDZuYjYCBTwgYNmzYxGwEDHxCwLBhwyZmI2Dj/tahvnB/N4rWr5vL8dFV58rkRj+KLt0xV+6rW9IrRY5uPB9F0YX0YUJ8qp49fcZhtJ0sz1uX04sLMu6vv24vjjZ++lq6oJO/vvAvd0UWtoBZzgIEDBs2bGK2lQ/YZD8yARtGmk29Ij9wrxzv6Cvn9ZXb5pasA47pRmRZf6nmwkxfPsu2Wcrkn1HUi5sHLFHu5ZfPn0HAzHIWIGDYsGETs618wJJu6YAlq/YkO0e7ep077kdbd+LJbXPTQF05MqEb6TolVyor/KQ069c/Ty58ejUvQ2OSeG68lDzvw9tR3qspYZiTQsA2+qlmsNEnYNiwYavBgwRBHQFbhCRVaaW2zXW1Jh/YUdlAlcj8KElJsu5PKqXblHSl3KhBtJluVxzahwswyFTDvJn1A3a840g2d+2V452f7RAwbNiwLc6DB7IFW0y24gFLgnSt79ZGr+HTTJk18NCuhtUmuywAunfOeKZwWbcuVvvEkjxevGPuv3fwfLYjLb/BdtM+idq/Fm04+9DG+cgoWahtvRBmo2LPLk/kbNKc9Xxqh1504SUtyV7sKNp6M32Z67+3r+tIbQa9VF2wonm8G63/Ko4/7kcbN0uvx3nidDkLEDBs2Lpke/BAtGCL2lY8YIOoNy4ETF+b7NsY6WsDt2b5A0sBG7q3PrSPNm3Z0/e/kO9Ic26wUpNMu3/NMQ2c/VwPD+OTAzbr+ezPtXaQuZOA/cNuQxyc/7sJ2GjGghXN1/S17UEWzulPTMCwYeu67cED2YIRsEVIVuKHhYAd9NX6uhCwYs0s6RgrIxu05SRxuZzE8M3IbJSMeodW795gh3R6pDWK1tWA5iA/QqRqnXoQhxmczXq+5NafJwt+v19c5OS1/8e+3TjaM4uRhOjS52rXX3JPd8HK5suHyWW1M/BoXy3JzBc6bRPiFwDQGfKAyermfcBKB0xnyOlSsvLVCVEDM/uDGQEbllfNlaIVNz2m+7IGZjNg4Ya99L52uOVUq2qdGrCBvT79+aYsmkLFe2iffM/kapi97F5hwaaYk9ZtW8nsF0rAALoNAROiTsDsdsC0S5NXL/T1zh21elZjittmS1gWMOcAiHITsp1jw/SY9/J2yJ65tVe6Qa/k82Y9/OR3u9GCAdMVOen5os13qy9ePco++fm75V1/hQUrm7fzJRtVCu88MQdxYMPWcZvwJsSFbascsKEdS7j7wO737cBDc236JsRRf726vdDeywlYOoFLbVobpNO4eqUbdDpsG4927c9Te/bczjJXAmb3xM18PrNIm6+VDoxU7bFP3jNLkb0Gey1dsGnmQsBmPTEBw4at4zYO4pBh8YDZFX8xYHY4o0/LcfHO9H1gwynTmIt7qwrHV5TX68UbtH6Yzj6L1i9ee3ffCdjp+8DSI/pnPl8cq8MCI7XryjXpF6q2E6rtiHmyjKqwYGXzXlwI2OwnJmDYsHXdJnsYPQGbm2HkrnhTCj0b5TuD8tXx7Wmn4SjuFRtWdj0VAlZ4vDmuUB86og5/KFbLtY5UgSoBMwdwxOXNjYWAqXNFXY2cmdBGZ7YTqi2I00Zg+YKVzZWAzXpiAoYNW+dtwhOZmQc2J4WAZdUoBMwec5HOiNLBGNgTTJVwD6nXdy2OnoqbEPcKD9z6h96CmIbAnSTt7Hcze5cqAUuPN5n9fJbJm1F1qJmk6m/9XnX6m922ahasbC4FbPYTEzBs2LCdpW2FA2axxcoPPOxlzTJRcs/E4Z4ao4RzJo4jO+fY3NNuq3P3STk3qE11v9PPnQZs5A6V8qczR9eXAzbKR4+zni+N4LRtpcmTv2AGWZWjEPMFK5tLAZv9QgkYNmzYztJGwOx6PTvwUK2YzRkP7/fTjXSb2bkQZ58lSp0L8ZI62u/TG2ZObzKS2rqTTi1z1+uFG8xIcC9ONyGqGVZOwNJzIapTZGzHWbXMomyXzv8x/fnU6YrvxHbOVk4qiczoL58H9vCG3UaaLljZXA7YzBc6qv7HImDYsGETsxGwdGAyivLTSaTnxDC3HOVno3cOWOiVNhvqo+4t5gxO9rwWkfpOkcImPfcGnQ0zRLJLsPWmW5rsyETnbPTmBI7q4sBdnFnPl56Jo7jpM91OqP85rpyJw12wkrkcsBOfuJQwAoYNGzYxGwHLtqwduV/0pQ7c20i/FcWcIVDdaxS5xRiXTm7x8C11GqUNfU568zh1ikA7NdrdJ+XcYEZe5pI69DF50tLA5f7V8veBqbMQTgnYzOfTP98ofU1ZugHTHhVfPhdiYcGK5krAZj7xx30Chg0btjOzETDwCQHDhg2bmI2AgU8IGDZs2MRsBAx8QsCwYcMmZiNg4BMChg0bNjEbAQOfEDBs2LCJ2QgY+ISAYcOGTcxGwMAnBAwbNmxiNgIGPiFg2LBhE7MRMPAJAcOGDZuYjYCBTwgYNmzYxGwEDHxCwLBhwyZmI2DgEwKGDRs2MRsBA58QMGzYsInZCBj4hIBhw4ZNzEbAwCcEDBs2bGI2AgY+IWDYsGETsxEw8AkBw4YNm5iNgIFPCBg2bNjEbAQMfELAsGHDJmYjYOATAoYNGzYxGwEDnxAwbNiwidkIGPiEgGHDhk3MRsDAJwQMGzZsYjYCBj4hYNiwYROzETDwCQHDhg2bmI2AgU8IGDZs2MRsBAx8QsCwYcMmZiNg4BMChg0bNjEbAQOfEDBs2LCJ2QgY+ISAYcOGTcxGwMAnBAwbNmxiNgIGPiFg2LBhE7MRMPAJAcOGDZuYjYCBTwgYNmzYxGwEDHxCwLBhwyZmI2DgEwKGDRs2MRsBA58QMGzYsInZCBj4hIBhw4ZNzEbAwCcEDBs2bGI2AgY+IWDY5LiikNMF/EqxzYCAgU8IGDYprqRICYN9pdhmQsAaMO5vHeoL93ejaP26uRwfXc2vHO9EmvN37UOOd3pTRJO3nk/udPHmtCcZRtunLcdo46evHaaqv77wL3dLt0/eujzroRV79b6D/C7jvnk50Ub6Yquc8GQxAcMmZbviIqMM9JViOwECVp/JfmQCNjRr9U0djgP3SrrGzwI2iKYELOvCZjk98XwBSx66l18+X7aMpj3pDHv1vtMCFtlXPnVhZj5ZTMCwCdmuXJEvWJivFNtJELD6DO1qfNxffykZeO3qNXeyjt+6E09um5tKa/PJIJqyelchvBPrcdxJ6/7ZjKKNfvrIwUZ/kYBNcVXuO3AClg45+zOzSsCwebARMGwKAlYbNRzR63M7RBnrcgzs2GSgx0SDwnpebWmcsnofpcOZ45311+ssySja3LXVOt752Y5wwMb9vfxiOvAaVcd5cz0ZAcMmwZUyEtIgXym2EyFgdUnGTdf67oa0Y1WO5Kdmda/X45N9t0jJiO3ygV29J6O21/OfZ8OnaNtGbGiHc1uHZiOf2rEWXXhJ38u9bJ9r6830add/bwN2dCO516U7ekFtN7MfqYdsH/SjzddL9uy+znMM8wbnATs2z3L/arZDzBg39PbF3ijbuFqqGQHDJgEBw6YhYHUZRL1xIWD6WpYsfe14Z+vfk1HXRd2MeLh5MxufuAErjmbSoZtSq/W/Tky688lupMwup4Ktf9htiIPzfzdpGZl7re/lUcp/pB7yUz2ALNnT+1afI39RGhOw21F+N2Pc3NXXbd+ynGcQMGwCVPolUrAQXym2kyFgNVFjjELAkuHHXlwKWHbQw17+sOoGtuOdaP365+k1nZTkR2Z75J6+noTg54dqz1Midy/ny/If+7oYxzu2HckzX/pc7YpT9xql4XN/ZMZIZXs6cqw8R/6ispef/N+6OnDyoGA0T2YyfFzZnPndLwAaMyVgy14kWAoErB56S58TsEFkVubZYYYDs4aPLh/GD29EWQim7iE60sOWi6/piI3VWGrcv5A8RK//VWLcnWNTdpSN9FBKFSP5fxONYbYYvfRJSz8ylrLd3HfWzrj0BU8O9EEcdg+fGWelxpEdj+X/70LAQAACBgYCVo+B2fSWBmzy6oV+tP6rWI9zkmYl45xIx6eX31sz/RCHiT68I4ouHaoc6Ade6+8Zvx0jbb6b3te5nEm3Du3I6fzd8q443dFeXPlRupOqaM/uW34OzZTD6B9+8rvdyATM/Mi8QpPRQXkLIpsQsUlY2ISIzUDAajHUa+viPrD7fTsI0hQO8MiOMzzhGL1P1WRmvdZPRjJqV9a22Zpo/0/NEnstn3W2+ZrzzEqvi6FGb/pCNoTS14qjKvujPGAFYzpaKz+HJguYnXNtho7RlIDpdlW3IBIwbBIWAobNQMDqYA/BKAYsXYXf14dtFG4bZ3OzTjzI/GhH5WSkNgNu/cd+z+xPM8cJHjyvQ3H5sHQ5f2Kzv2wvDVh2WH0esMqP4il2e0PlOezrKLxg1bP1i9fetZsQe+4rVP9MebEEDJsEHIWITUPA6jDMtqS5BxCOi4MuZ+XtHvxQWac7O5x0icb97eR/8WDr/9m9WWbz4+Sv6pD16uU4306otz7OOwJzA+YYswUsPUf1FaoNjb3DON8HVghY0uDD6hZEAoZNREPAsGkIWB0KAct2LhVW7wOzc8mZFFa6lOEca65LNNnfOkh+Mjr/b3ZrXhaRyZv5GZzcy/phSZf+1u9Vp6PN2gdWDFhmdBfQfY7qK8ySeLwzJWDxYP3/7FcnOxMwbCKcQb8CfaXYToKANcCuz/MDD3tZEcxGRntLIVHVTYjDbBhn7j84/wt1iON/f8HuU9vONkGqJ3QvZ1IzA00/YN6jEPOAFYz6hinPEVevpwEbFYZu+b8/7VdfKwHDJgIBw6YgYA2w6/PswEMzHUqdGNGeK9DccrTrDpamzwN76VCfKEMXwcyoUj815+TYTs+WeLRv5hpnlzOpmfWsQ+jOA7MH8I/sISeFH+UBKxhtDCvP4b5gi9mEmAzTSgEz91En4q+eL5GAYZNBvl+hvlJsJ0DAGpCuz0dRfoqL9OwUhfPUn7+TPmTamTjyg/mMISlNLz/XfeFcGZt3i5dTqQ2U+ue4fCaO7KyNxTNxOJsQy3Y1zCs/R+EFZ89rXuqb7pguPUVksvxTJpMRMGxSCOcr4FeKbSYErAHZ+lx/BdglWyl1AN9GeqZCfcvl6rEdhYDFE3tOQXM6jmTVr4YudvKYPVvhjX72LVzuZSu1xVD3PC6fCzHhY9O2wrkQ3X1grtHct/IcxRdsUQdcJi+1sFctfTI71aAEAcMmh2i+gn6l2GZAwOCMmPpFZgQMGzZsYjYCBmdD8Uz8KQQMGzZsYjYCBmfDwZTDVQgYNmzYBG0EDM4CdXLjaecDJmDYsGETsxEwOAve1LMJqhAwbNiwidkIGPiEgGHDhk3MRsDAJwQMGzZsYjYCBj4hYNiwYROzETDwCQHDhg2bmI2AgU8IGDZs2MRsBAx8QsCwYcMmZiNg4BMChg0bNjEbAQOfEDBs2LCJ2QgY+ISAYcOGTcxGwMAnBAwbNmxiNgIGPiFg2LBhE7MRMPAJAcOGDZuYjYCBTwgYNmzYxGwEDHxCwLBhwyZmI2DgEwKGDRs2MRsBA58QMGzYsInZCBj4hIBhw4ZNzEbAwCcEDBs2bGI2AgY+IWDYsGETsxEw8Ml3AQDkWPYqTQgC1gqW/dsOAJ1i2as0IQhY95D95cSGDduq2VoDAeseIX8wsGHDFr6tNRCw7hHyBwMbNmzh21oDAeseIX8wsGHDFr6tNRCw7hHyBwMbNmzh21oDAeseIX8wsGHDFr6tNRAwAABoJQQMAABaCQEDAIBWQsAAAKCVEDAAAGglBAwAAFoJAQMAgFZCwAAAoJUQMAAAaCUEDAAAWgkBAwCAVkLAOsin7xxi65Yt4EXD1kFbayBgneOgH0XR5rvYumMLeNGwddDWIghY1xhGG7/87fNRdFnkDzJsAdgCXjRsHbS1CQLWMcb9LfVL/HE/2hL4ZcYWgC3gRcPWQVurIGAdYxjt6X/HIr/M2AKwBbxo2DpoaxUErGOkv8vql7mHrQu2gBcNWwdtrYKAdYxR9huc/DJvY+uALeBFw9ZBW6sgYB3jeGf9dXtxFGUXsbXYFvCiYeugrVUQsK4xzDeDDyU2X2Fbui3gRcPWQVubIGCd4TPzz2Q/6tlf5uOd+rt0sQVgC3jRsHXQ1kIIWFcYpRu/j3bSX+bJ/vm72NprC3jRsHXQ1kYIWFfId99mB9M2+F3GFoAt4EXD1kFbGyFgXSH5DXZ+mTfVntxh/SOSsAVgC3jRsHXQ1kYIWFcY9zeyX+bJfhRtvrjbYFYjtgBsAS8atg7a2ggB6wqjaPsg+2WOD56PGp0ZDVsAtoAXDVsHbW2EgHUFNRvf+WWOH36GreW2gBcNWwdtbYSAdQSz79b9ZcbWclvAi4atg7ZWQsC6wvH/VP8v9cuMLQBbwIuGrYO2NkLAOobsLzO2AGwBLxq2DtpaBQHrGiF/NLAtX4YNW4cgYJ0j5I8GtuXLsGHrDgSsexyI/i5jC8AW8KJh66CtPRCw7nB0x16oeyztQ3cKSWNbgaa28f9wz48T1rLJ2ngTQrCt6LvQPghYZxj3G34T0LjvTOJvbCupm9mK39PX1Pbwnc8L7rBeKW9CY/gorAwErMV89o7zd2Lyi325kS0R5KcBbWor/j3Y1FZ8fEPbQT+KovWXhGzC7wJvQj34KKwoBKy16HVAduIYiQ9t/mWuTW2jwhb5oD60w2jj+ts3ovSUcU2XTfZd4E2oBR+FlYWAtZVkHfDiC/3061clPrSX1YlpxGzb7pVwPrR241D67RNNl032XeBNqAUfhdWFgLUUsw4Y99NNHcPmH1rnj8WGNvdrHhrbjnbMx/TTGxcu3jxsakvXTCP7538zm+y7wJtQCz4KKwwBaykDs41jILMP1/wtV9h13dC3ITcxZaD/tr4dKTbvnHr3U2T2P5j68onmr1b0XeBNaGTjo7CKELCWkn5qz79w4cL1pp81uy3ieEfqy1yLX/PQkOOd5A/2YbR587O33J3r9RjYP/4n+z/bab6Aku8Cb0JdGx+F1YWAtRSzDkh+oRVN/1o83r3sSAUof81DM0bR+b/v6NeYvN5eM9fQ/sc63tkWOARZ8l3gTagJH4UVhoC1lJH6qE72o58fxvf7Ur/KI4ENOmoKqNzXPJgJpYNow67m8j0dNW3qc6+WUP3Z3vzb18/iXZB4ExTS37Uh9SbEcQvehFV4FzoBAWsdR7998frn8eQddXmoPxZNfpWNzXK80/jPYbPzQOprHuyuiGSFZ1/hZL/BEmrbuB+t/9Qcs9ZkR8fkk7ffjaXeBSOzNH8T7BxhoTchnXEs8yYYm9CbYJD6KBQQ+ChYkew3ngh9FDoDAWsbQ7WhpPir2+BXuWQbNv0DtjAFtPHHNrPlfw832FVvbUe7kZ01NNmvve7UM482C+vK+u9CSdbwTSjNEW74Jjg2gTchs4m8CXH86TulxzZaqxdsTT8KpVM7Nfwo5DaRj0J3IGAtYxRtvvvZ7dL2+dq/ymWbwHluCnFt9rF1bJ/YD63ZItPQ9vDtt+0umLrrTjUR961+aStT3XehLGv2JpTmCMfN3oSCrfGb4Nqavwk2/O8WflZ/rV6yNfwojMr/zRt9FFybwEehQxCwdjH14177V7lqGzba9F+YAqpp8rGt2uIGe0ym2GrL7HbS4lamuu9CVdbkTSjNEdbUfxOm2er/d5tqq/+OJjn85W+fd07BETdZq1dsjT8KggWr2pr8h+sSBKxd2D/FJn998Xo+DaT21o6q7bjJYc2lKaCa+l/zULYN1q//+9XaK5WS7fjq9U9v1JbZEA4LAav7LlRlTd6E8hxhTe03oWJr9CaUbc3eBJvDj0s5rPlRqNoafRRK85c1Db7xpGRr9lHoFASsXZhVsN7aEV06bPqrXLbpH9XecjJ9Cmjdr3ko28xek0tN+uXYbjc65HqQNud/mZlHjd6Fsixu9CZMnyNc900o25q9CWVbszchzWE6oGv2USjb4kbvwvT5y/W/8aRoa/YudAsC1i5G5sCt9Utv31CftIa/yiWb/tmg/uYmySmgU2yf/O61uicfqNqO3vrluyc94kTM3/nZzKNm70JJpn9W+02QniNcsTV4E6q2hm9CfrrCXuO1eslml7fRXivBb0ku25q8C92CgLULvQo2f8ke6ZXAp2+//fmpj5rbFqcHJdeRiU4BDdmmVnKX3n6rbw+n6zV7FyqyuMGbIDxHOGTbKAuN3UPU6KNQscVN3gXp+cuyti5BwFpG8vd68vnXFwXmvMjaDFJTQEO2jfRWVx3D5hOGRGWyc4TDtmX/rRpt7DsLm/D8ZenZ0B2CgLUGMwV0sh/9bMcOI5pMBDkLm0FsIm7Itskn7wyyzX21R3WiMuE5wiHbDM5hgo3nL0rbhOcvC8+G7hAErCVkU0CdA5IaznmRtxlkJ+KGasumIJSP9F+OTHiOcMi2dMZx8tdXLztiMDBbStPmyNo6CAFrB84U0FF6eopGc17OxqaRnYgbqi09IKT2uR9EZcJzhEO25TOOj3bS5jSY1HtGtuwHTZoja+skBKwVFKaAJs3R3wXUdM7LWdg0shNxQ7UNzPqu7n83UZnwHOGQbe6M40wpMn9Z1pbSoDmytm5CwFpBcQroeDf5u+zF8pmMwrApZCfihmpL1ncbYrN6G8qE5wiHbCvMOE7+s22+HjeP61nYUmrPX5a1dRQC1gpKU0Anb/Wj4il0wrEpZCfihmobS87qbSYTniMcsq0441g5N1/cFZq/LGtLqTt/WdbWUQhYK6hOKH1Yf8rLmdukJ+IGa/ukwcwjUZnwHOGQbeUZxwfPN/nr62xtzZC1dRQC1gpCnlA6zSY7ETdkW23a9paGYqvOOH7YYFBy1rYmyNo6CgFrBWFPKMW2bNlK2cKdvxyyraMQsHYgOwUUWwC2gBctTNvDt1785R2xGcerY+s0BCxw0g0aMlNAsQVgC3jRQrZ9rM+4dVloxvHq2LoNAQsb5/uwBKaAYgvAFvCihWwbRps3P3tTnTNSYsbx6tg6DgELmym7bxvsRsAWgC3gRQvYZrc9jux8rYYzjlfH1nUIWNgUv4q12RRQbEHYAl60gG12Mpk5sKHxjOPVsXUdAhY2xa9ibTYFFFsQtoAXLVxbdpJIs3pvOON4dWydh4CFTemrWBtNAcUWhC3gRQvYls6GTv9tNuN4dWxdh4CFTchf7Ipt+bKVsY3slybkX/rTbMbxqti6DgELmpC/2BXb8mWrY5u86m5Yix9iAwUBC5uQv9gV2/JlK2QzmNX6uH8ZG8QErCXIrgSwBWALeNECtplRndS5AVfH1lkIWDsId5WCLQTZqtj0al1srb46ts5CwFpCsKsUbEHIVsSmzuQht1ZfHVtnIWBtQfarWLEFYAt40UK1He+c/5vcWn11bJ2FgLUG2WNpsQVgC3jRArWpeb2Se9RWxdZZCBgAtIaB7DGNdP2LYQAABFRJREFUK2PrKgQMAFrDSHStvjq2rkLAAKA9hLlpM3xbRyFgAADQSggYAAC0EgIGAACthIABAEArIWAAANBKCBgAALQSAgYAAK2EgAEAQCshYAAA0EoIGAAAtBICBgAArYSAAQBAKyFgAADQSggYAAC0EgIGsBRurbl86w39oyc+WkSwyL2d5/v+U39ZdGEBgoSAASyF+gF77z99FM9/76nP99SsR1o3QCsgYABLoXbA0ns1Cdishy7oBFguBAxgKUxpxWIBW/j5dCTj+NEHryQFe1LSDbAcCBjAUlhawBLura099htBN8ByIGAAS2GZAVPbE6cOwQgYtAoCBrAUTgrY16+cS8ZI+cGC+voPfq0u3jP7sJ6ede9vnll7+tGfvre29u1nPyrJnYAl97LXPlAPXvu+vnPuri4CQIAQMIClcELA7qWHWvzQ/Pyec7UasPTWx/6bupak6T//yPzgO28U5U7AHr1stiE++kP6VOrOTsDKiwAQIgQMYCkUjgo0e6RskpJ4qJHPP/9g85Fcf+IvujVPO/dy7v2dPycjqaRaz8U6YEnKPoq/ftnePX8+J2DqUc+Zf36YSL7+kd2k6ESxsAgAQULAAJbCzIB9dS7dP3VP/zxJkq5KMmoqHGxv/k1vTW9WAXvOXi8M8aYFLLmzearUYt3lRQAIEwIGsBRmBuxeVpqkQUlHvrRFSi7ouxUDlhcmqc7TTtBKxaoG7OnMWIljeREAwoSAASyFWfvA3GToH9wrhqgUsLxLZjiVDarKj5u6CbF8q3FWFgEgTAgYwFKYFTC1DbBwho7yHQsBczYUmovqKERz/cSA3coD9s8P/u///l7hXCCVRQAIEwIGsBTEAvZk+eFzBCw9CjF+73tTTmZFwKAlEDCApXBCwJ488Y4SI7CvzqXbCtUksP/6rx/eKgWMHV/QBggYwFI4YR9YOVjpSQzNaOvUfWBzBMyeicMeRR9X94Gx4wvaAAEDWAozJzLfyo4rNCHJjkJMhk3PxeWA5UdjfLlmj0I8PWDvmeMe81ClZ+a4lR5NX1wEgDAhYABLYWbA7Oa9OD2APjswvjBKOmEe2CkBe/T+j9fMACyv073iF7qUFwEgTAgYwFIofj+Xro5zbo1fJ3n5o/3ari+LZ+JQM78efTjtTBzq5hMC5pKdcENtQlSPNWOu1F1eBIAgIWAAS2F2wPITEebjI+e8hF+umQHUzHMhzhEwu+frG3vWxLWn/mhGWqm7sggAIULAAJbCCQGLv35FHd1uTj9vrp9zrr6XXHnyo/LZ6H/4ob4yR8C+/+yH6Q/1eesfe+rP2YGH1l1dBIAAIWAAANBKCBgAALQSAgYAAK2EgAEAQCshYAAA0EoIGAAAtBICBgAArYSAAQBAKyFgAADQSggYAAC0EgIGAACthIABAEArIWAAANBKCBgAALQSAgYAAK2EgAEAQCshYAAA0EoIGAAAtBICBgAArYSAAQBAK/n/yiJ4hjxLEi0AAAAASUVORK5CYII=" width="864" /></p>
</div>
</div>
<div id="southern-european-family-of-nations" class="section level3">
<h3>Southern European family of nations</h3>
<hr />
<div id="portugal" class="section level4">
<h4>Portugal</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Portugal&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" width="864" /></p>
</div>
<div id="spain" class="section level4">
<h4>Spain</h4>
<pre class="r"><code>    #create subset
subset &lt;- docvars_df %&gt;% filter(countryname == &quot;Spain&quot;)

    #build plot
ggplot(subset, aes(y = reorder(party_labeled, desc(party_labeled)), x = factor(edate_labeled), size = voteshare, color = parfam)) +
    geom_point() +
    scale_y_discrete(name = &quot;&quot;) +
    scale_x_discrete(name = &quot;Election Date&quot;) +
    scale_color_manual(values = parfam_colors) +
    theme_bw() +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img 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" 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</div>
</div>
<div id="decision-2-defining-the-party-sample" class="section level2">
<h2>Decision 2: Defining the party sample</h2>
<p>Excluding minor parties and their manifestos from the translation affects the number of observations available for subsequent analyses. In terms of resources, this would be an issue worth considering for the full-text translation. However, its effect on the amount of text to be translated as a DFM is negligible. Unless smaller parties would solely use neologisms, they add very little types – unique words in a DFM – as they still communicate in the same language.</p>
<p>The following table shows the impact of two arbitrarily chosen thresholds on the number of types and characters compared to a DFM without any preprocessing based on the <a href="#decision-1-defining-the-country-sample">previously defined country sample</a>.</p>
<pre class="r"><code>###################

## Look at impact of thresholds on no of chars

# Due to the heavy load the estimation was outsorced to the script &quot;suppl01_prep_tbl_impact_thresholds.R&quot;.
# The script applies different thresholds before creating a DFM.
# It was executed prior to compiling the Rmd.

    #clean env from graphs
rm(list = ls())

    #load workspace
load(&quot;../data/suppl01_tbl_impact_thresholds.Rdata&quot;)

    #print table
tbl_thr %&gt;%
    kable(col.names = c(&quot;Threshold&quot;, &quot;Obs.&quot;, &quot;Chars. Full-Text&quot;, &quot;Types DFM&quot;, &quot;Chars. DFM&quot;),
          format.args = list(decimal.mark = &#39;,&#39;, big.mark = &quot;.&quot;)) %&gt;%
    add_header_above(c(&quot;Impact of Thresholds on Corpus&quot; = 5)) %&gt;%
    kable_styling(bootstrap_options = c(&quot;striped&quot;, &quot;hover&quot;, &quot;condensed&quot;), full_width = T)</code></pre>
<table class="table table-striped table-hover table-condensed" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="5">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Impact of Thresholds on Corpus
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Threshold
</th>
<th style="text-align:right;">
Obs.
</th>
<th style="text-align:right;">
Chars. Full-Text
</th>
<th style="text-align:right;">
Types DFM
</th>
<th style="text-align:right;">
Chars. DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
No threshold
</td>
<td style="text-align:right;">
1.701
</td>
<td style="text-align:right;">
160.502.827
</td>
<td style="text-align:right;">
587.000
</td>
<td style="text-align:right;">
6.801.558
</td>
</tr>
<tr>
<td style="text-align:left;">
Excl. parties that competed only once
</td>
<td style="text-align:right;">
1.602
</td>
<td style="text-align:right;">
151.237.269
</td>
<td style="text-align:right;">
568.051
</td>
<td style="text-align:right;">
6.575.281
</td>
</tr>
<tr>
<td style="text-align:left;">
Excl. parties with average vote share &lt; 2%
</td>
<td style="text-align:right;">
1.533
</td>
<td style="text-align:right;">
147.612.846
</td>
<td style="text-align:right;">
558.509
</td>
<td style="text-align:right;">
6.479.089
</td>
</tr>
</tbody>
</table>
<p>Thresholds indeed have a large impact when considering a full-text translation. Given that the difference in characters for translating DFMs is marginal though, we decide to <em>not</em> apply any threshold prior to the translation. In any case, having translated DFMs including all parties leaves space for further analyses with only a few additional resources. At the same time, one still has the opportunity to include or exclude minor parties from causal analyses later on (as we do).</p>
<p></br></p>
<hr />
</div>
</div>
<div id="part-two-preparing-the-translation" class="section level1">
<h1>Part Two: Preparing the translation</h1>
<hr />
<p></br></p>
<div id="language-pairs" class="section level2">
<h2>Language pairs</h2>
<p>Limiting the sample to 19 Western democracies dramatically reduces the number of language pairs that need to be translated to English to twelve. For one, all manifestos from the English-speaking family can be taken “as is”. Second (and luckily in terms of resources), in some countries, manifestos are issued in common languages (e.g. Swiss manifestos are either published in French, German or Italian). This leaves us with the following languages that need to be considered for translation: <strong>Catalan, Danish, Dutch, Finnish, French, Galician, German, Italian, Norwegian, Portuguese, Spanish, and Swedish.</strong></p>
<p>English will serve as the <em>tertium comparationis</em> because it is virtually the <em>lingua franca</em> of computing. For this reason, machine translation algorithms are mostly and best trained for translating to and from English, especially when large parallel corpora exist (Vries, Schoonvelde, and Schumacher 2018, 418–9). Rumor has it that English is also used as a “bridge” language when there is a lack of such corpora (Lucas et al. 2015, 269).</p>
</div>
<div id="language-features" class="section level2">
<h2>Language features</h2>
<p>We are using one of the most popular machine translation providers – Google Translate – and their API to do the translation. For one, Google Translate offers all required languages and all are supported by their <a href="https://cloud.google.com/translate/docs/languages" target="_blank">Neural Machine Translation Model</a> for more accurate results. We thereby circumvent potential bias arising from using different providers that apply different models. Furthermore, as Reber (2018, 12–3) concludes comparing Google Translate and DeepL: “[I]t is safe to say that the choice of translation service plays a minor role. More important is the choice of the translation method […]”.</p>
<p>Doing a DFM translation instead of a full-text translation reduces the amount of text by up to 95%. As Google and other service providers charge a fee based on the number of characters, this can make a large difference especially for smaller projects with limited resources.</p>
<p>Typical steps in quantitative text analysis affect what will be eventually translated. This encompasses first and foremost tokenization (“bag-of-words”), and then lowercasing, removal of stopwords, numbers or characters, removal of very sparse or very frequent terms, lemmatization, and stemming (Grimmer and Stewart 2013; Welbers, van Atteveldt, and Benoit 2017). For deciding which actions should be taken prior to the translation, the following table shows the impact of different steps on each subcorpus (number of documents, types and tokens) and its corresponding DFM.</p>
<p>The steps for creating the DFMs are:</p>
<ul>
<li>DFM0 - No preprocessing</li>
<li>DFM1 - Lowercase</li>
<li>DFM2 - Remove punctuation, and lowercase</li>
<li>DFM3 - Remove punctuation + numbers, and lowercase</li>
<li>DFM4 - Remove punctuation + numbers + symbols, and lowercase</li>
<li>DFM5 - Remove punctuation + numbers + symbols, lowercase, and remove stopwords</li>
<li>DFM6 - Remove punctuation + numbers + symbols, lowercase, remove stopwords, and stem</li>
</ul>
<div id="number-of-features" class="section level3">
<h3>Number of features</h3>
<p>Apparently, the most important step is tokenization, i.e. going from full-texts to a DFM. The number of tokens can be reduced to unique types that – on average – make up only 3% of the full-texts. It varies between languages though: English, Spanish, and French can be “trimmed” to 1% to 2%. The other end of the spectrum comprises Danish, Swedish and Galician (6%-9%), with Finnish being the language that can be trimmed the least (29% share of types).</p>
<pre class="r"><code>## Comapring Different Preprocessing Steps

# Due to the heavy load the estimation was outsorced to the script &quot;suppl01_prep_tbl_chars_comparison.R&quot;.
# The script prepares different DFMs and estimates the number of chars and features for each language.
# It was executed prior to compiling the Rmd.

    #clean env from previous part
rm(list = ls())

    #load workspace
load(&quot;../data/suppl01_tbl_chars_comparison.Rdata&quot;)

    #build feature table
feature_tbl %&gt;%
    kable(col.names = c(&quot;Language&quot;, &quot;Obs.&quot;, &quot;Tokens&quot;, &quot;Feat. DFM0&quot;, &quot;Feat. DFM1&quot;, &quot;Feat. DFM2&quot;, &quot;Feat. DFM3&quot;, &quot;Feat. DFM4&quot;, &quot;Feat. DFM5&quot;, &quot;Feat. DFM6&quot;),
          format.args = list(decimal.mark = &#39;,&#39;, big.mark = &quot;.&quot;)) %&gt;%
    add_header_above(c(&quot; &quot; = 2, &quot;Full-Text&quot; = 1, &quot;Processed DFMs&quot; = 7)) %&gt;% 
    kable_styling(bootstrap_options = c(&quot;striped&quot;, &quot;hover&quot;, &quot;condensed&quot;), full_width = T)</code></pre>
<table class="table table-striped table-hover table-condensed" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden" colspan="2">
</th>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="1">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Full-Text
</div>
</th>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="7">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Processed DFMs
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Language
</th>
<th style="text-align:right;">
Obs.
</th>
<th style="text-align:right;">
Tokens
</th>
<th style="text-align:right;">
Feat. DFM0
</th>
<th style="text-align:right;">
Feat. DFM1
</th>
<th style="text-align:right;">
Feat. DFM2
</th>
<th style="text-align:right;">
Feat. DFM3
</th>
<th style="text-align:right;">
Feat. DFM4
</th>
<th style="text-align:right;">
Feat. DFM5
</th>
<th style="text-align:right;">
Feat. DFM6
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
catalan
</td>
<td style="text-align:right;">
12
</td>
<td style="text-align:right;">
597.246
</td>
<td style="text-align:right;">
24.214
</td>
<td style="text-align:right;">
24.214
</td>
<td style="text-align:right;">
24.178
</td>
<td style="text-align:right;">
23.044
</td>
<td style="text-align:right;">
23.044
</td>
<td style="text-align:right;">
22.828
</td>
<td style="text-align:right;">
20.338
</td>
</tr>
<tr>
<td style="text-align:left;">
danish
</td>
<td style="text-align:right;">
175
</td>
<td style="text-align:right;">
514.616
</td>
<td style="text-align:right;">
31.788
</td>
<td style="text-align:right;">
31.788
</td>
<td style="text-align:right;">
31.741
</td>
<td style="text-align:right;">
30.847
</td>
<td style="text-align:right;">
30.847
</td>
<td style="text-align:right;">
30.678
</td>
<td style="text-align:right;">
26.886
</td>
</tr>
<tr>
<td style="text-align:left;">
dutch
</td>
<td style="text-align:right;">
199
</td>
<td style="text-align:right;">
4.308.097
</td>
<td style="text-align:right;">
96.311
</td>
<td style="text-align:right;">
96.311
</td>
<td style="text-align:right;">
96.256
</td>
<td style="text-align:right;">
92.028
</td>
<td style="text-align:right;">
92.028
</td>
<td style="text-align:right;">
91.642
</td>
<td style="text-align:right;">
84.307
</td>
</tr>
<tr>
<td style="text-align:left;">
english
</td>
<td style="text-align:right;">
379
</td>
<td style="text-align:right;">
5.771.194
</td>
<td style="text-align:right;">
57.875
</td>
<td style="text-align:right;">
57.875
</td>
<td style="text-align:right;">
57.805
</td>
<td style="text-align:right;">
53.584
</td>
<td style="text-align:right;">
53.584
</td>
<td style="text-align:right;">
52.539
</td>
<td style="text-align:right;">
37.242
</td>
</tr>
<tr>
<td style="text-align:left;">
finnish
</td>
<td style="text-align:right;">
81
</td>
<td style="text-align:right;">
195.182
</td>
<td style="text-align:right;">
37.486
</td>
<td style="text-align:right;">
37.486
</td>
<td style="text-align:right;">
37.457
</td>
<td style="text-align:right;">
37.023
</td>
<td style="text-align:right;">
37.023
</td>
<td style="text-align:right;">
36.390
</td>
<td style="text-align:right;">
36.372
</td>
</tr>
<tr>
<td style="text-align:left;">
french
</td>
<td style="text-align:right;">
152
</td>
<td style="text-align:right;">
2.402.238
</td>
<td style="text-align:right;">
51.593
</td>
<td style="text-align:right;">
51.593
</td>
<td style="text-align:right;">
51.536
</td>
<td style="text-align:right;">
48.879
</td>
<td style="text-align:right;">
48.879
</td>
<td style="text-align:right;">
48.308
</td>
<td style="text-align:right;">
34.994
</td>
</tr>
<tr>
<td style="text-align:left;">
galician
</td>
<td style="text-align:right;">
5
</td>
<td style="text-align:right;">
116.219
</td>
<td style="text-align:right;">
10.560
</td>
<td style="text-align:right;">
10.560
</td>
<td style="text-align:right;">
10.540
</td>
<td style="text-align:right;">
10.289
</td>
<td style="text-align:right;">
10.289
</td>
<td style="text-align:right;">
10.170
</td>
<td style="text-align:right;">
8.801
</td>
</tr>
<tr>
<td style="text-align:left;">
german
</td>
<td style="text-align:right;">
237
</td>
<td style="text-align:right;">
2.912.656
</td>
<td style="text-align:right;">
118.507
</td>
<td style="text-align:right;">
118.507
</td>
<td style="text-align:right;">
118.451
</td>
<td style="text-align:right;">
116.158
</td>
<td style="text-align:right;">
116.158
</td>
<td style="text-align:right;">
115.587
</td>
<td style="text-align:right;">
101.831
</td>
</tr>
<tr>
<td style="text-align:left;">
italian
</td>
<td style="text-align:right;">
100
</td>
<td style="text-align:right;">
1.262.391
</td>
<td style="text-align:right;">
40.000
</td>
<td style="text-align:right;">
40.000
</td>
<td style="text-align:right;">
39.953
</td>
<td style="text-align:right;">
38.907
</td>
<td style="text-align:right;">
38.907
</td>
<td style="text-align:right;">
38.362
</td>
<td style="text-align:right;">
37.775
</td>
</tr>
<tr>
<td style="text-align:left;">
norwegian
</td>
<td style="text-align:right;">
95
</td>
<td style="text-align:right;">
2.585.631
</td>
<td style="text-align:right;">
79.817
</td>
<td style="text-align:right;">
79.817
</td>
<td style="text-align:right;">
79.755
</td>
<td style="text-align:right;">
77.087
</td>
<td style="text-align:right;">
77.087
</td>
<td style="text-align:right;">
76.894
</td>
<td style="text-align:right;">
67.424
</td>
</tr>
<tr>
<td style="text-align:left;">
portuguese
</td>
<td style="text-align:right;">
66
</td>
<td style="text-align:right;">
1.563.516
</td>
<td style="text-align:right;">
38.279
</td>
<td style="text-align:right;">
38.279
</td>
<td style="text-align:right;">
38.231
</td>
<td style="text-align:right;">
36.973
</td>
<td style="text-align:right;">
36.973
</td>
<td style="text-align:right;">
36.489
</td>
<td style="text-align:right;">
31.300
</td>
</tr>
<tr>
<td style="text-align:left;">
spanish
</td>
<td style="text-align:right;">
81
</td>
<td style="text-align:right;">
3.698.243
</td>
<td style="text-align:right;">
59.392
</td>
<td style="text-align:right;">
59.392
</td>
<td style="text-align:right;">
59.326
</td>
<td style="text-align:right;">
55.686
</td>
<td style="text-align:right;">
55.686
</td>
<td style="text-align:right;">
55.111
</td>
<td style="text-align:right;">
46.144
</td>
</tr>
<tr>
<td style="text-align:left;">
swedish
</td>
<td style="text-align:right;">
119
</td>
<td style="text-align:right;">
366.802
</td>
<td style="text-align:right;">
25.607
</td>
<td style="text-align:right;">
25.607
</td>
<td style="text-align:right;">
25.579
</td>
<td style="text-align:right;">
25.186
</td>
<td style="text-align:right;">
25.186
</td>
<td style="text-align:right;">
24.839
</td>
<td style="text-align:right;">
22.699
</td>
</tr>
<tr>
<td style="text-align:left;">
TOTAL
</td>
<td style="text-align:right;">
1.701
</td>
<td style="text-align:right;">
26.294.031
</td>
<td style="text-align:right;">
671.429
</td>
<td style="text-align:right;">
671.429
</td>
<td style="text-align:right;">
670.808
</td>
<td style="text-align:right;">
645.691
</td>
<td style="text-align:right;">
645.691
</td>
<td style="text-align:right;">
639.837
</td>
<td style="text-align:right;">
556.113
</td>
</tr>
<tr>
<td style="text-align:left;">
TOTAL w/o English
</td>
<td style="text-align:right;">
1.322
</td>
<td style="text-align:right;">
20.522.837
</td>
<td style="text-align:right;">
613.554
</td>
<td style="text-align:right;">
613.554
</td>
<td style="text-align:right;">
613.003
</td>
<td style="text-align:right;">
592.107
</td>
<td style="text-align:right;">
592.107
</td>
<td style="text-align:right;">
587.298
</td>
<td style="text-align:right;">
518.871
</td>
</tr>
</tbody>
</table>
</div>
<div id="number-of-characters" class="section level3">
<h3>Number of characters</h3>
<p>The picture looks quite similar when considering the number of characters which is crucial for the translation in terms of resources.</p>
<pre class="r"><code>    # build chars table
chars_tbl %&gt;%
    kable(col.names = c(&quot;Language&quot;, &quot;Obs.&quot;, &quot;Chars.&quot;, &quot;Chars. DFM0&quot;, &quot;Chars. DFM1&quot;, &quot;Chars. DFM2&quot;, &quot;Chars. DFM3&quot;, &quot;Chars. DFM4&quot;, &quot;Chars. DFM5&quot;, &quot;Chars. DFM6&quot;),
          format.args = list(decimal.mark = &#39;,&#39;, big.mark = &quot;.&quot;)) %&gt;%
    add_header_above(c(&quot; &quot; = 2, &quot;Full-Text&quot; = 1, &quot;Processed DFMs&quot; = 7)) %&gt;%
    kable_styling(bootstrap_options = c(&quot;striped&quot;, &quot;hover&quot;, &quot;condensed&quot;), full_width = T)</code></pre>
<table class="table table-striped table-hover table-condensed" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden" colspan="2">
</th>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="1">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Full-Text
</div>
</th>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="7">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Processed DFMs
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Language
</th>
<th style="text-align:right;">
Obs.
</th>
<th style="text-align:right;">
Chars.
</th>
<th style="text-align:right;">
Chars. DFM0
</th>
<th style="text-align:right;">
Chars. DFM1
</th>
<th style="text-align:right;">
Chars. DFM2
</th>
<th style="text-align:right;">
Chars. DFM3
</th>
<th style="text-align:right;">
Chars. DFM4
</th>
<th style="text-align:right;">
Chars. DFM5
</th>
<th style="text-align:right;">
Chars. DFM6
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
catalan
</td>
<td style="text-align:right;">
12
</td>
<td style="text-align:right;">
3.527.638
</td>
<td style="text-align:right;">
215.112
</td>
<td style="text-align:right;">
215.112
</td>
<td style="text-align:right;">
215.072
</td>
<td style="text-align:right;">
210.507
</td>
<td style="text-align:right;">
210.507
</td>
<td style="text-align:right;">
209.561
</td>
<td style="text-align:right;">
174.560
</td>
</tr>
<tr>
<td style="text-align:left;">
danish
</td>
<td style="text-align:right;">
175
</td>
<td style="text-align:right;">
3.024.514
</td>
<td style="text-align:right;">
344.064
</td>
<td style="text-align:right;">
344.064
</td>
<td style="text-align:right;">
344.016
</td>
<td style="text-align:right;">
339.924
</td>
<td style="text-align:right;">
339.924
</td>
<td style="text-align:right;">
339.302
</td>
<td style="text-align:right;">
281.639
</td>
</tr>
<tr>
<td style="text-align:left;">
dutch
</td>
<td style="text-align:right;">
199
</td>
<td style="text-align:right;">
26.943.599
</td>
<td style="text-align:right;">
1.182.619
</td>
<td style="text-align:right;">
1.182.619
</td>
<td style="text-align:right;">
1.182.563
</td>
<td style="text-align:right;">
1.163.281
</td>
<td style="text-align:right;">
1.163.281
</td>
<td style="text-align:right;">
1.161.220
</td>
<td style="text-align:right;">
1.027.771
</td>
</tr>
<tr>
<td style="text-align:left;">
english
</td>
<td style="text-align:right;">
379
</td>
<td style="text-align:right;">
33.258.777
</td>
<td style="text-align:right;">
488.409
</td>
<td style="text-align:right;">
488.409
</td>
<td style="text-align:right;">
488.237
</td>
<td style="text-align:right;">
466.556
</td>
<td style="text-align:right;">
466.556
</td>
<td style="text-align:right;">
461.258
</td>
<td style="text-align:right;">
288.650
</td>
</tr>
<tr>
<td style="text-align:left;">
finnish
</td>
<td style="text-align:right;">
81
</td>
<td style="text-align:right;">
1.621.661
</td>
<td style="text-align:right;">
447.495
</td>
<td style="text-align:right;">
447.495
</td>
<td style="text-align:right;">
447.466
</td>
<td style="text-align:right;">
445.705
</td>
<td style="text-align:right;">
445.705
</td>
<td style="text-align:right;">
441.877
</td>
<td style="text-align:right;">
438.701
</td>
</tr>
<tr>
<td style="text-align:left;">
french
</td>
<td style="text-align:right;">
152
</td>
<td style="text-align:right;">
14.116.969
</td>
<td style="text-align:right;">
457.970
</td>
<td style="text-align:right;">
457.970
</td>
<td style="text-align:right;">
457.883
</td>
<td style="text-align:right;">
444.951
</td>
<td style="text-align:right;">
444.951
</td>
<td style="text-align:right;">
441.832
</td>
<td style="text-align:right;">
282.555
</td>
</tr>
<tr>
<td style="text-align:left;">
galician
</td>
<td style="text-align:right;">
5
</td>
<td style="text-align:right;">
698.425
</td>
<td style="text-align:right;">
92.287
</td>
<td style="text-align:right;">
92.287
</td>
<td style="text-align:right;">
92.267
</td>
<td style="text-align:right;">
91.257
</td>
<td style="text-align:right;">
91.257
</td>
<td style="text-align:right;">
90.819
</td>
<td style="text-align:right;">
74.982
</td>
</tr>
<tr>
<td style="text-align:left;">
german
</td>
<td style="text-align:right;">
237
</td>
<td style="text-align:right;">
20.219.112
</td>
<td style="text-align:right;">
1.624.903
</td>
<td style="text-align:right;">
1.624.903
</td>
<td style="text-align:right;">
1.624.843
</td>
<td style="text-align:right;">
1.614.089
</td>
<td style="text-align:right;">
1.614.089
</td>
<td style="text-align:right;">
1.611.122
</td>
<td style="text-align:right;">
1.395.509
</td>
</tr>
<tr>
<td style="text-align:left;">
italian
</td>
<td style="text-align:right;">
100
</td>
<td style="text-align:right;">
7.748.546
</td>
<td style="text-align:right;">
378.856
</td>
<td style="text-align:right;">
378.856
</td>
<td style="text-align:right;">
378.799
</td>
<td style="text-align:right;">
374.359
</td>
<td style="text-align:right;">
374.359
</td>
<td style="text-align:right;">
371.417
</td>
<td style="text-align:right;">
353.570
</td>
</tr>
<tr>
<td style="text-align:left;">
norwegian
</td>
<td style="text-align:right;">
95
</td>
<td style="text-align:right;">
15.829.744
</td>
<td style="text-align:right;">
987.649
</td>
<td style="text-align:right;">
987.649
</td>
<td style="text-align:right;">
986.838
</td>
<td style="text-align:right;">
975.102
</td>
<td style="text-align:right;">
975.102
</td>
<td style="text-align:right;">
974.376
</td>
<td style="text-align:right;">
818.327
</td>
</tr>
<tr>
<td style="text-align:left;">
portuguese
</td>
<td style="text-align:right;">
66
</td>
<td style="text-align:right;">
9.264.719
</td>
<td style="text-align:right;">
352.223
</td>
<td style="text-align:right;">
352.223
</td>
<td style="text-align:right;">
352.167
</td>
<td style="text-align:right;">
347.050
</td>
<td style="text-align:right;">
347.050
</td>
<td style="text-align:right;">
344.593
</td>
<td style="text-align:right;">
281.947
</td>
</tr>
<tr>
<td style="text-align:left;">
spanish
</td>
<td style="text-align:right;">
81
</td>
<td style="text-align:right;">
21.917.452
</td>
<td style="text-align:right;">
549.795
</td>
<td style="text-align:right;">
549.795
</td>
<td style="text-align:right;">
549.348
</td>
<td style="text-align:right;">
526.170
</td>
<td style="text-align:right;">
526.170
</td>
<td style="text-align:right;">
523.090
</td>
<td style="text-align:right;">
416.243
</td>
</tr>
<tr>
<td style="text-align:left;">
swedish
</td>
<td style="text-align:right;">
119
</td>
<td style="text-align:right;">
2.331.671
</td>
<td style="text-align:right;">
281.469
</td>
<td style="text-align:right;">
281.469
</td>
<td style="text-align:right;">
281.441
</td>
<td style="text-align:right;">
279.884
</td>
<td style="text-align:right;">
279.884
</td>
<td style="text-align:right;">
278.277
</td>
<td style="text-align:right;">
246.042
</td>
</tr>
<tr>
<td style="text-align:left;">
TOTAL
</td>
<td style="text-align:right;">
1.701
</td>
<td style="text-align:right;">
160.502.827
</td>
<td style="text-align:right;">
7.402.851
</td>
<td style="text-align:right;">
7.402.851
</td>
<td style="text-align:right;">
7.400.940
</td>
<td style="text-align:right;">
7.278.835
</td>
<td style="text-align:right;">
7.278.835
</td>
<td style="text-align:right;">
7.248.744
</td>
<td style="text-align:right;">
6.080.496
</td>
</tr>
<tr>
<td style="text-align:left;">
TOTAL w/o English
</td>
<td style="text-align:right;">
1.322
</td>
<td style="text-align:right;">
127.244.050
</td>
<td style="text-align:right;">
6.914.442
</td>
<td style="text-align:right;">
6.914.442
</td>
<td style="text-align:right;">
6.912.703
</td>
<td style="text-align:right;">
6.812.279
</td>
<td style="text-align:right;">
6.812.279
</td>
<td style="text-align:right;">
6.787.486
</td>
<td style="text-align:right;">
5.791.846
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="decision-3-doing-as-little-preprocessing-as-possible" class="section level2">
<h2>Decision 3: Doing as little preprocessing as possible</h2>
<p>Obviously, some processing steps have a larger impact than others. The following figure plots the number of characters as a share of all characters for each language. As can be seen, lowercasing and the removal of punctuation slightly reduces the number of characters. Removing numbers has a more profound effect, though removing symbols hardly alters the DFM.</p>
<p>A notable reduction in the number of features and characters is achieved by stemming words. Stemming converts inflected forms of words into their base forms on a rule-based algorithm (Welbers, van Atteveldt, and Benoit 2017, 251). Going one step further, lemmatization would replace the word with its morphological root. It certainly makes sense to stem or lemmatize for a given research question. For the translation, however, even stemming would entail too much loss of information. At the same time, stemming leads to negligible decreases in the number of characters which would not outweigh the loss of information.</p>
<p>Thus said, we opt for DFM4, i.e. we only tokenize, remove punctuation, numbers and symbols, and lowercase all words. Similar to Reber (2018, 5), we thereby retain as much information as possible for the translation.</p>
<pre class="r"><code>    #build object: reduction in no of chars by dfm
chars_red &lt;- chars_tbl %&gt;%
    mutate(
        dfm0 = round(chars_dfm0 / chars_ft * 100, 2),
        dfm1 = round(chars_dfm1 / chars_ft * 100, 2),
        dfm2 = round(chars_dfm2 / chars_ft * 100, 2),
        dfm3 = round(chars_dfm3 / chars_ft * 100, 2),
        dfm4 = round(chars_dfm4 / chars_ft * 100, 2),
        dfm5 = round(chars_dfm5 / chars_ft * 100, 2),
        dfm6 = round(chars_dfm6 / chars_ft * 100, 2)
    ) %&gt;%
    select(language, dfm0, dfm1, dfm2, dfm3, dfm4, dfm5, dfm6) %&gt;%
    gather(`dfm0`, `dfm1`, `dfm2`, `dfm3`, `dfm4`, `dfm5`, `dfm6`, key = &quot;dfm&quot;, value = &quot;share&quot;)

    #plot graph with p% share
ggplot(chars_red, aes(x = factor(language), y = share, fill = dfm)) +
    geom_bar(stat = &quot;identity&quot;, position = position_dodge()) +
    theme_bw() +
    xlab(&quot;Language&quot;) + ylab(&quot;Share of characters as p% of all characters (per language)&quot;) +
    scale_fill_brewer(palette = &quot;Paired&quot;) +
    theme(axis.ticks.y = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1)
    )</code></pre>
<p><img src="data:image/png;base64,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" width="864" /></p>
<p></br></p>
<hr />
</div>
</div>
<div id="part-three-validating-the-translation" class="section level1">
<h1>Part Three: Validating the translation</h1>
<hr />
<p></br></p>
<div id="approach" class="section level2">
<h2>Approach</h2>
<p>According to Grimmer and Stewart (2013, 271), Principle Four of automated text analysis is to “validate, validate, validate”. Likewise, Vries, Schoonvelde, and Schumacher argue (2018, 419) for evaluating “the implications of machine translation for bag-of-words methods”. Our dependent variable in the causal analysis – <em>pairwise text similarity of party manifestos</em> – rests on a DFM. Yet, when constructing a DFM we disregard the order in which words appear thereby loosing context (“bag-of-words approach”).</p>
<p>Neural networks are trained to take context into account – one reason why machine translation matured at all. However, when translating only the features, we run the risk of mistranslations as in the early days of phrase-based models . For this reason, we compare and validate the translation of each DFM with a DFM derived from a sample of full-text translations. Note that we are not validating machine translation <em>per se</em> as previous research has shown that full-text machine translation has caught up to human-translated texts (Le and Schuster 2016; Lotz and Van Rensburg 2014; Lucas et al. 2015; Vries, Schoonvelde, and Schumacher 2018). If human translations were the “gold standard”, we instead compare the “silver standard” of full-text machine translation to the “bronze standard” of DFM-translations. To our knowledge, only Reber (2018) provides first evidence of the suitability of such an approach.</p>
<p>Our approach is visualized in the following flow chart. This way, we can assess whether there are any (systematic) deviances and whether too much information is lost in the DFM translation that would thwart cross-lingual comparisons. If both DFMs turn out to be quite similar, we can be sure that our dependent variable rests on solid grounds – an essential cornerstone for comparing party manifestos across countries and time.</p>
<pre class="r"><code>knitr::include_graphics(&quot;../graphs/flowchart_v3.png&quot;)</code></pre>
<p><img 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" width="80%" /></p>
<p></br></p>
<p>We start with the Manifesto Corpus and separate the documents according to the language they are written in. For each subcorpus, i.e. all documents of one language, we take two “paths”:</p>
<ul>
<li><p><strong>Path One – Feature translated DFM</strong>: In the first path, we preprocess the subcorpus in line with <a href="#decision-3-doing-as-little-preprocessing-as-possible">Decision 3</a>, i.e. we tokenize, remove punctuation, numbers and symbols, and lowercase. We then extract the features, translate them and replace them in their DFM. In the following, we denote the DFM that is constructed in the original language <em>prior</em> to the translation and post-processed afterwards “feature translated DFM”.</p>
<p>Post-processing is necessary for several reasons. For one, some languages are well known for compound words (Lucas et al. 2015, 258). Often, their translation results in ngrams (e.g. the German “Sozialpolitik” is translated as “social policy”). For this reason, we post-process the DFM following Reber’s (2018, 5) advice to split them into unigrams and remove duplicate terms. This is justified because “[i]n practice, for common tasks […] n-grams do little to enhance performance” (Grimmer and Stewart 2013, 272). Secondly, at this stage we remove English stopwords. By definition, stopwords do not contain topical content (they rather serve grammatical functions), but they affect the word distribution and subsequent measures (Vries, Schoonvelde, and Schumacher 2018, 421). In our case, for example, we would overestimate the similarity of a feature-translated document with its full-text companion. We disregard other typical steps like stemming or removing sparse or frequent terms. They make sense, for example, when fitting topic models as one is interested in carving out the content of topics and their word associations. At this stage, however, we are “simply” interested in the equality of both translation methods.</p></li>
<li><p><strong>Path Two – Full-text translated DFM</strong>: The second path involves full-text translations of entire documents. Given limited resources though, we draw a random sample from each subcorpus proportional to a language’s share (cf. table below). In sum, we translate 260 manifestos (~20%) as a full-text. In the French example, we translate 30 party manifestos. We then construct the DFM applying the same steps as for the feature translated DFM, i.e. we tokenize, remove punctuation, numbers, symbols, English stopwords, and lowercase. Splitting compound words is not necessary in this case as their English equivalent is already separated when tokenizing. Likewise, we neither stem nor remove sparse or frequent terms to retain as much information as possible about the translation when comparing both DFMs. In the following, we denote the DFM that is constructed and preprocessed <em>after</em> the translation “full-text translated DFM”.</p></li>
</ul>
<p>Having both the feature translated DFM and their full-text translated counterpart at hand, we can compare and validate both translation methods. We start by summarizing the comparison of the very same documents from both DFMs to see how the feature translation fares compared to a full-text translation. Afterwards, we assess whether the feature translated DFMs are able to detect the same patterns found in the full-text sample. If so, we can be sure that we are able to uncover patterns of text similarity across parties and countries as well.</p>
</div>
<div id="validating-two-translation-methods" class="section level2">
<h2>Validating two translation methods</h2>
<p>To evaluate the equivalence we rely on two similarity measures – the cosine similarity and Jaccard coefficient. Choosing a measure is not an easy task though as they are constantly questioned and many are on offer. Yet, cosine similarity can be regarded as a baseline model (Bär et al. 2015, 16). It is often used, not least because the resulting metric is on a familiar scale from 0 to 1. In addition, it has the advantage of being independent from document length (Huang 2008, 51). Applying the Jaccard coefficient is less common, but well-suited for our validation. In short, it quantifies the overlap of two vectors (here simply the features) and ranges from 0 to 1 as well (Huang 2008, 52). The drawback is that it does not take into account the frequency of terms plus it is sensitive to document lengths. Thus, the Jaccard coefficient usually gives lower values than the cosine similarity. Used in conjunction, however, both are appropriate to assess the equivalence of the two translation methods. Cosine similarity and the Jaccard coefficient are implemented in common text analysis tools such as <a href="https://quanteda.io/" target="_blank">quanteda</a> (Benoit et al. 2018), which we use for our analyses. Apart from document similarity, we also look at the vocabulary of both DFMs to check their overlap. Finally, we consider the degree of non-translation (Lotz and Van Rensburg 2014, 250) in the feature translated DFM deriving from words that Google Translate could not match or other errors. This way we get a clear picture of the accuracy and the shortcomings of <em>Path One</em>.</p>
<p>The following table displays descriptive statistics for comparing the same documents – once from the feature translated DFM and once from the full-text translated DFM. The second and third column contains the number of manifestos for each subcorpus and how many documents were randomly sampled. The fourth and fifth column show the number of unique types in both DFMs. The sixth to the ninth column show the mean and standard deviation of the pairwise similarity. Finally, the last column shows the number of non-translated features per language.</p>
<pre class="r"><code>## Comapring DFM vs. Full-Text Translation

# Due to the heavy load the estimation was outsorced to the script &quot;suppl01_prep_tbl_translation_description.R&quot;.
# The script post-processes the feature translated DFM, preprocesses the full-text translated DFMs and compares the translation for each language.
# It was executed prior to compiling the Rmd.

    #clean env from Part Two
rm(list = ls())

    #load workspace
load(&quot;../data/suppl01_tbl_translation_description.Rdata&quot;)

    #build table
descriptives_df %&gt;%
    kable(col.names = c(&quot;Language&quot;, &quot;Obs.&quot;, &quot;Sampled Obs.&quot;, &quot;Types Full-Text Transl. DFM&quot;, &quot;Types Feat. Transl. DFM&quot;, &quot;Cosine Mean&quot;, &quot;Cosine SD&quot;, &quot;Jaccard Mean&quot;, &quot;Jaccard SD&quot;,&quot;Nontransl. Feat.&quot;)) %&gt;%
    add_header_above(c(&quot;Descriptive Statistic for Translations&quot; = 10)) %&gt;%
    kable_styling(bootstrap_options = c(&quot;striped&quot;, &quot;hover&quot;, &quot;condensed&quot;), full_width = T)</code></pre>
<table class="table table-striped table-hover table-condensed" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="10">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Descriptive Statistic for Translations
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Language
</th>
<th style="text-align:right;">
Obs.
</th>
<th style="text-align:right;">
Sampled Obs.
</th>
<th style="text-align:right;">
Types Full-Text Transl. DFM
</th>
<th style="text-align:right;">
Types Feat. Transl. DFM
</th>
<th style="text-align:right;">
Cosine Mean
</th>
<th style="text-align:right;">
Cosine SD
</th>
<th style="text-align:right;">
Jaccard Mean
</th>
<th style="text-align:right;">
Jaccard SD
</th>
<th style="text-align:right;">
Nontransl. Feat.
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
catalan
</td>
<td style="text-align:right;">
12
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
10697
</td>
<td style="text-align:right;">
9617
</td>
<td style="text-align:right;">
0.72
</td>
<td style="text-align:right;">
0.12
</td>
<td style="text-align:right;">
0.57
</td>
<td style="text-align:right;">
0.00
</td>
<td style="text-align:right;">
2200
</td>
</tr>
<tr>
<td style="text-align:left;">
danish
</td>
<td style="text-align:right;">
175
</td>
<td style="text-align:right;">
35
</td>
<td style="text-align:right;">
21932
</td>
<td style="text-align:right;">
21154
</td>
<td style="text-align:right;">
0.76
</td>
<td style="text-align:right;">
0.07
</td>
<td style="text-align:right;">
0.45
</td>
<td style="text-align:right;">
0.04
</td>
<td style="text-align:right;">
2439
</td>
</tr>
<tr>
<td style="text-align:left;">
dutch
</td>
<td style="text-align:right;">
199
</td>
<td style="text-align:right;">
39
</td>
<td style="text-align:right;">
90581
</td>
<td style="text-align:right;">
84305
</td>
<td style="text-align:right;">
0.78
</td>
<td style="text-align:right;">
0.10
</td>
<td style="text-align:right;">
0.55
</td>
<td style="text-align:right;">
0.03
</td>
<td style="text-align:right;">
6765
</td>
</tr>
<tr>
<td style="text-align:left;">
finnish
</td>
<td style="text-align:right;">
81
</td>
<td style="text-align:right;">
16
</td>
<td style="text-align:right;">
12586
</td>
<td style="text-align:right;">
13102
</td>
<td style="text-align:right;">
0.65
</td>
<td style="text-align:right;">
0.10
</td>
<td style="text-align:right;">
0.37
</td>
<td style="text-align:right;">
0.07
</td>
<td style="text-align:right;">
1369
</td>
</tr>
<tr>
<td style="text-align:left;">
french
</td>
<td style="text-align:right;">
152
</td>
<td style="text-align:right;">
30
</td>
<td style="text-align:right;">
55633
</td>
<td style="text-align:right;">
50935
</td>
<td style="text-align:right;">
0.79
</td>
<td style="text-align:right;">
0.04
</td>
<td style="text-align:right;">
0.51
</td>
<td style="text-align:right;">
0.03
</td>
<td style="text-align:right;">
9203
</td>
</tr>
<tr>
<td style="text-align:left;">
galician
</td>
<td style="text-align:right;">
5
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
4829
</td>
<td style="text-align:right;">
4713
</td>
<td style="text-align:right;">
0.62
</td>
<td style="text-align:right;">
0.19
</td>
<td style="text-align:right;">
0.55
</td>
<td style="text-align:right;">
0.02
</td>
<td style="text-align:right;">
692
</td>
</tr>
<tr>
<td style="text-align:left;">
german
</td>
<td style="text-align:right;">
237
</td>
<td style="text-align:right;">
44
</td>
<td style="text-align:right;">
88508
</td>
<td style="text-align:right;">
85200
</td>
<td style="text-align:right;">
0.80
</td>
<td style="text-align:right;">
0.07
</td>
<td style="text-align:right;">
0.45
</td>
<td style="text-align:right;">
0.04
</td>
<td style="text-align:right;">
12039
</td>
</tr>
<tr>
<td style="text-align:left;">
italian
</td>
<td style="text-align:right;">
100
</td>
<td style="text-align:right;">
20
</td>
<td style="text-align:right;">
35675
</td>
<td style="text-align:right;">
34098
</td>
<td style="text-align:right;">
0.75
</td>
<td style="text-align:right;">
0.11
</td>
<td style="text-align:right;">
0.53
</td>
<td style="text-align:right;">
0.02
</td>
<td style="text-align:right;">
3672
</td>
</tr>
<tr>
<td style="text-align:left;">
norwegian
</td>
<td style="text-align:right;">
95
</td>
<td style="text-align:right;">
19
</td>
<td style="text-align:right;">
53926
</td>
<td style="text-align:right;">
52349
</td>
<td style="text-align:right;">
0.71
</td>
<td style="text-align:right;">
0.13
</td>
<td style="text-align:right;">
0.48
</td>
<td style="text-align:right;">
0.08
</td>
<td style="text-align:right;">
7217
</td>
</tr>
<tr>
<td style="text-align:left;">
portuguese
</td>
<td style="text-align:right;">
66
</td>
<td style="text-align:right;">
13
</td>
<td style="text-align:right;">
29537
</td>
<td style="text-align:right;">
27880
</td>
<td style="text-align:right;">
0.80
</td>
<td style="text-align:right;">
0.04
</td>
<td style="text-align:right;">
0.54
</td>
<td style="text-align:right;">
0.03
</td>
<td style="text-align:right;">
2825
</td>
</tr>
<tr>
<td style="text-align:left;">
spanish
</td>
<td style="text-align:right;">
81
</td>
<td style="text-align:right;">
16
</td>
<td style="text-align:right;">
58338
</td>
<td style="text-align:right;">
54704
</td>
<td style="text-align:right;">
0.78
</td>
<td style="text-align:right;">
0.05
</td>
<td style="text-align:right;">
0.56
</td>
<td style="text-align:right;">
0.04
</td>
<td style="text-align:right;">
11374
</td>
</tr>
<tr>
<td style="text-align:left;">
swedish
</td>
<td style="text-align:right;">
119
</td>
<td style="text-align:right;">
24
</td>
<td style="text-align:right;">
13116
</td>
<td style="text-align:right;">
12238
</td>
<td style="text-align:right;">
0.78
</td>
<td style="text-align:right;">
0.05
</td>
<td style="text-align:right;">
0.45
</td>
<td style="text-align:right;">
0.03
</td>
<td style="text-align:right;">
1082
</td>
</tr>
<tr>
<td style="text-align:left;">
TOTAL
</td>
<td style="text-align:right;">
1322
</td>
<td style="text-align:right;">
260
</td>
<td style="text-align:right;">
475358
</td>
<td style="text-align:right;">
450295
</td>
<td style="text-align:right;">
0.74
</td>
<td style="text-align:right;">
0.09
</td>
<td style="text-align:right;">
0.50
</td>
<td style="text-align:right;">
0.04
</td>
<td style="text-align:right;">
60877
</td>
</tr>
</tbody>
</table>
<p>In general, we find a large overlap although the vocabulary is slightly reduced compared to the full-texts. The mean cosine similarity is close to or even above the values that Reber (2018, 10) reports. This leaves us in good company. Apparently, information is lost when translating only the features and Google surprisingly has trouble with translating some terms at all. Furthermore, it becomes obvious that the neural network is better trained on “larger” languages. Yet, the overall picture shows that the feature translated DFMs are sufficiently accurate and equivalent to proceed with our analysis.</p>
<p>In the following we report a detailed validation for each language. First, we estimate all pairwise similarities among the sampled full-texts and compare the “correlation” matrix to the same matrix derived from the feature translated DFM. We compare the two by estimating the correlation between both matrices and inspecting the heatmaps visually. Afterwards, we plot the distribution of cosine similarity to assess their overlap (or difference). Finally, we report the Top 50-features in the both DFMs and the original language.</p>
</div>
<div id="language-wise-validation" class="section level2 tabset tabset-pills">
<h2>Language-wise validation</h2>
<div id="catalan" class="section level3">
<h3>Catalan</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_catalan_fulltext_translated_190206.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_catalan_fulltext_translated_dfm &lt;-  tokens(sample_corpus_catalan_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_catalan_dfm &lt;-  tokens(sample_corpus_catalan,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_catalan_dfm_translated &lt;- dfm_sample(subcorpus_catalan_dfm_translated, 2, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_catalan_dfm &lt;- dfm_sample(subcorpus_catalan_dfm, 2, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_catalan_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_catalan_dfm_translated)

# Resave the docvars

sample_corpus_catalan_dfm_translated_c@docvars &lt;- sample_corpus_catalan_dfm_translated@docvars

sample_corpus_catalan_dfm_translated &lt;- sample_corpus_catalan_dfm_translated_c

# Remove Stopwords
sample_corpus_catalan_dfm_translated &lt;- dfm_remove(sample_corpus_catalan_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_catalan_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_catalan_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_catalan_dfm &lt;- dfm_remove(sample_corpus_catalan_dfm, stopwords(language = &quot;catalan&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_catalan_dfm_translated &lt;- dfm_tolower(sample_corpus_catalan_dfm_translated)

# Stemming 
 
#sample_corpus_catalan_dfm_translated &lt;- dfm_wordstem(sample_corpus_catalan_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_catalan_dfm&quot;, &quot;sample_corpus_catalan_dfm_translated&quot;, &quot;sample_corpus_catalan_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))


#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_catalan_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_catalan_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_catalan_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = Inf, df = 2, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  1 1
## sample estimates:
## cor 
##   1</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()

grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
<p><img 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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<pre class="r"><code>###############################################################################</code></pre>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code>#################################################################################

# 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_catalan_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_catalan_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_catalan_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)


topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:30, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(31:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
access
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
access
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
anys
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
administration
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
administration
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
autònomes
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
autonomous
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
autonomous
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
cal
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
catalonia
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
catalonia
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
catalunya
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
communities
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
communities
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
competències
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
comunitats
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
creation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
creation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
convergència
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
creació
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
desenvolupament
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
dret
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
guarantee
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
guarantee
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
drets
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
empreses
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
labor
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
labor
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
europea
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
finançament
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
formació
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
participation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
participation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
garantir
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gestió
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
govern
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promote
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promote
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
impulsar
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
propose
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
propose
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
impulsarem
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
l’administració
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
l’estat
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
laboral
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
llei
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
manera
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
marc
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
matèria
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mesures
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
spanish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
spanish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nou
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
noves
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
action
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
catalan
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
part
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
activity
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
participació
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
boost
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
convergència
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
persones
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
convergence
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
política
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
cut
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
employment
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
polítiques
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
des
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
family
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
promoure
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
formation
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
field
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
promourem
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
frame
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
framework
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pública
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
ha
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
qualitat
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
han
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
housing
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
recursos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
lime
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
improve
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
salut
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
matter
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
management
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sector
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
occupation
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
seguretat
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
picture
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
promotion
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
serveis
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
politics
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quality
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sistema
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
scope
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
social
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
set
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
socials
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
subject
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
societat
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
unió
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
treball
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
united
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
women
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
unió
</td>
</tr>
</tbody>
</table>
</div>
<div id="danish" class="section level3">
<h3>Danish</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_danish_fulltext_translated_190129.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_danish_fulltext_translated_dfm &lt;-  tokens(sample_corpus_danish_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_danish_dfm &lt;-  tokens(sample_corpus_danish,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_danish_dfm_translated &lt;- dfm_sample(subcorpus_danish_dfm_translated, 35, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_danish_dfm &lt;- dfm_sample(subcorpus_danish_dfm, 35, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_danish_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_danish_dfm_translated)

# Resave the docvars

sample_corpus_danish_dfm_translated_c@docvars &lt;- sample_corpus_danish_dfm_translated@docvars

sample_corpus_danish_dfm_translated &lt;- sample_corpus_danish_dfm_translated_c

# Remove Stopwords
sample_corpus_danish_dfm_translated &lt;- dfm_remove(sample_corpus_danish_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_danish_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_danish_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_danish_dfm &lt;- dfm_remove(sample_corpus_danish_dfm, stopwords(language = &quot;danish&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_danish_dfm_translated &lt;- dfm_tolower(sample_corpus_danish_dfm_translated)

# Stemming 
 
#sample_corpus_danish_dfm_translated &lt;- dfm_wordstem(sample_corpus_danish_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_danish_dfm&quot;, &quot;sample_corpus_danish_dfm_translated&quot;, &quot;sample_corpus_danish_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))


##############################################################################

# Test length
  
#length(sample_corpus_danish_dfm@docvars$manifesto_id)
#length(sample_corpus_danish_dfm_translated@docvars$manifesto_id)
#length(sample_corpus_danish_fulltext_translated_dfm@docvars$manifesto_id)


# Test sample equality 

#sample_corpus_danish_dfm_translated@docvars$manifesto_id == #sample_corpus_danish_fulltext_translated_dfm@docvars$manifesto_id

#sample_corpus_danish_dfm@docvars$manifesto_id == #sample_corpus_danish_fulltext_translated_dfm@docvars$manifesto_id


################################################################################

#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_danish_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_danish_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_danish_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 112.75, df = 1223, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.9499169 0.9597763
## sample estimates:
##       cor 
## 0.9551103</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code>#################################################################################

# 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_danish_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_danish_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_danish_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:35, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(36:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
business
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
business
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
afgørende
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
år
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
arbejde
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
community
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
community
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
både
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
conditions
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
conditions
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bedre
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bør
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
børn
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
danish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
danish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
brug
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
democracy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
democracy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
dag
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
denmark
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
denmark
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
danmark
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
dansk
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
danske
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
derfor
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
ensure
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
ensure
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
enkelte
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
eu
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
eu
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
folkeparti
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gennem
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
housing
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
housing
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gøre
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
income
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
income
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
hele
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
indsats
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
konservative
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
party
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
party
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
kr
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
krav
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
lande
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
political
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
political
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mellem
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
private
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
private
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mennesker
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mia
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
reform
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
reform
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nye
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
responsibility
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
responsibility
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
offentlige
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
økonomisk
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
økonomiske
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sf
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sf
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ønsker
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
politik
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
politiske
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
private
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
regeringen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
bigger
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
dkk
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samarbejde
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
continue
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
elderly
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samfund
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
cooperation
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
employees
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samfundet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
create
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
freedom
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samtidig
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
day
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
future
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sf
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
garden
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
increased
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sikre
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
individual
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
skabe
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
left
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
jobs
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociale
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
occupation
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
labor
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
større
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
people&amp;#39;s
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
pension
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
uddannelse
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
practice
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
uden
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
share
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
udvikling
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
sheep
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
unge
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
taxes
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
venstre
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
wishes
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
unemployment
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
verden
</td>
</tr>
</tbody>
</table>
</div>
<div id="dutch" class="section level3">
<h3>Dutch</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_dutch_fulltext_translated_190205.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_dutch_fulltext_translated_dfm &lt;-  tokens(sample_corpus_dutch_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_dutch_dfm &lt;-  tokens(sample_corpus_dutch,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_dutch_dfm_translated &lt;- dfm_sample(subcorpus_dutch_dfm_translated, 39, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_dutch_dfm &lt;- dfm_sample(subcorpus_dutch_dfm, 39, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_dutch_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_dutch_dfm_translated)

# Resave the docvars

sample_corpus_dutch_dfm_translated_c@docvars &lt;- sample_corpus_dutch_dfm_translated@docvars

sample_corpus_dutch_dfm_translated &lt;- sample_corpus_dutch_dfm_translated_c

# Remove Stopwords
sample_corpus_dutch_dfm_translated &lt;- dfm_remove(sample_corpus_dutch_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_dutch_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_dutch_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_dutch_dfm &lt;- dfm_remove(sample_corpus_dutch_dfm, stopwords(language = &quot;dutch&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_dutch_dfm_translated &lt;- dfm_tolower(sample_corpus_dutch_dfm_translated)

# Stemming 
 
#sample_corpus_dutch_dfm_translated &lt;- dfm_wordstem(sample_corpus_dutch_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_dutch_dfm&quot;, &quot;sample_corpus_dutch_dfm_translated&quot;, &quot;sample_corpus_dutch_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))


##############################################################################



################################################################################

#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_dutch_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_dutch_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_dutch_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 101.37, df = 1519, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.9265981 0.9395727
## sample estimates:
##       cor 
## 0.9333897</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code># 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_dutch_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_dutch_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_dutch_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:28, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(29:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
aandacht
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
cooperation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
cooperation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
aantal
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bedrijven
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
belang
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
beleid
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
beter
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
energy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
energy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
blijft
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environment
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environment
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
blijven
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environmental
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environmental
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
dienen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
dient
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
economische
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
europese
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
income
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
income
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gaan
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gaat
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
geven
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
goed
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
goede
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
netherlands
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
netherlands
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
groen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
grote
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
internationale
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
jaar
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
quality
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
quality
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
kinderen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
komen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
komt
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
krijgen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
land
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
landen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
leven
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
allowed
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
addition
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
maatregelen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
coming
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
attention
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mensen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
deliver
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
middelen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
employment
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mogelijk
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
enforcement
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nederland
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
hold
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
costs
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nederlandse
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
human
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nieuwe
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
instance
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
dutch
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nodig
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
job
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
family
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
onderwijs
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
legal
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
financial
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ontwikkeling
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
living
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
green
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
overheid
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
lot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
housing
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
plaats
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
opportunities
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
recht
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
pick
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
labor
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ruimte
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
power
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
level
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samenleving
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
required
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samenwerking
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
safety
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociale
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
serve
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
nature
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
staat
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ten
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
starting
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
werk
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
true
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
werken
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
u.s
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
transport
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
zorg
</td>
</tr>
</tbody>
</table>
</div>
<div id="finnish" class="section level3">
<h3>Finnish</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_finnish_fulltext_translated_190131.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_finnish_fulltext_translated_dfm &lt;-  tokens(sample_corpus_finnish_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_finnish_dfm &lt;-  tokens(sample_corpus_finnish,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_finnish_dfm_translated &lt;- dfm_sample(subcorpus_finnish_dfm_translated, 16, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_finnish_dfm &lt;- dfm_sample(subcorpus_finnish_dfm, 16, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_finnish_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_finnish_dfm_translated)

# Resave the docvars

sample_corpus_finnish_dfm_translated_c@docvars &lt;- sample_corpus_finnish_dfm_translated@docvars

sample_corpus_finnish_dfm_translated &lt;- sample_corpus_finnish_dfm_translated_c

# Remove Stopwords
sample_corpus_finnish_dfm_translated &lt;- dfm_remove(sample_corpus_finnish_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_finnish_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_finnish_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_finnish_dfm &lt;- dfm_remove(sample_corpus_finnish_dfm, stopwords(language = &quot;finnish&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_finnish_dfm_translated &lt;- dfm_tolower(sample_corpus_finnish_dfm_translated)

# Stemming 
 
#sample_corpus_finnish_dfm_translated &lt;- dfm_wordstem(sample_corpus_finnish_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_finnish_dfm&quot;, &quot;sample_corpus_finnish_dfm_translated&quot;, &quot;sample_corpus_finnish_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))



################################################################################

#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_finnish_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_finnish_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_finnish_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 53.592, df = 254, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.9472262 0.9674281
## sample estimates:
##       cor 
## 0.9585142</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
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3O+3p+/td0Ng06jUljpXtXeITelzhmv9zWBjSwIfZPIt//ECQDnYLoMXwgr3jj4GAmT50OYBLhcR1QgrnTPrNkSJL1aoXLjxF+xWCxWq9Vms9sdDte6E1iG1jzMgzvQ65wv19v9JEmS4bDbbFaLxRsBcNB4tCz17XHPN/oj3vW10uUXg+zEJHGFjE7azkLf9SU408gXWSUJALIyu5fG5ldYrmzT+De7dcrYCvnnCAmTCwiTqxEmAY7IwQvE2dft17psd3YLs1CsdofjhTb6/X6/3W7X6+Vyfk+fKLMv7a9nw8M8uEO9zjP5fLleb/f74wDYnV2RcvuGbHP2sOeb/RGnK9LctbLlpu+r9WQd+VKhb3wfQZEPgB3K5tNzC9vGv1l9WO02p/dTObUKUZhM74owuS5hEuB4HLxATH0kxj/Dp8tcT681mC0m3HzaXvj5PXfFx9oin8+bn9vb7DAPbt+v87zZcuaRpcvz5Xp/xVO9+9jzjf6I09hzx3VHu3wRo0atR42MI9+N0CfyAbCJnaeyzGwV/9L1Ybtcn94a5NQqRGEyTZhcmzAJcDQOXyDOPhJjeWj2WTX9rFgWGUet0kY3YZ7dv2x8kiu2I+vb6DAPbl+vc8Qq8WjF/29hL3u+2R9x2Vajm5cn7cOoVSpM37zF5uPMFp1Ohb7W8xciHwAr218qy8wW8W++Pgwh5OvvTGqvk6oQhck5wuT6hEmAY3H4AnE+DxVypVpvNLvLVq9Vm31WzW49N/v+/6DxKL1BGI3XOr4jUt515i91/7JOpVRrTZ94fkc2sclhHtw2r/NG81LxqFCqtdITr2eu+DLt5x2y2R9xfqv0ff/GR7THxDcajXq91vzxVruZLrE5C32NRicEkQ+AFe0xlWVm0/g364NSRU3qjsy3a6RVvtl2EMKkMLktYRLgWKywfu8Kpnmm2Bxusv1wthpJ1Pxaw6tssXifFmyZeuolz1ttTn4f2527lkRe/zC3ei2XP9Xyx276Oi99R8RGrzhw/mkXTTvQO2TBIS3fqlid3CVwvX9Aaxzj4kO9+yVcw12bz+/lnQ/Y+t0PwDHZcz6MpLKFU7fdlch+rfLBtX5ymF1he2tvUxffLg1Qm3+qCpPb7bkwKUwCnKUj+AZiCCHk6/1hsxr//CpWu8P52+Hl60/v+rwrVrvTJZJvrJyTOoU3kVrGOF/vdyM7Uqx2k/aD+Mzl1j/Mg9v8dd544N2v0XjocPl5zz2+Qzb4I+br/VhAK1a7/cf343u6K8Vqc5XXbfdmXwUIThkDsIa9prLMrJsc0t8+fHrzczv1LcROJb3K393p5aCEyRCCMLkVYRLgKBxJgRhCyNfb/eGw26wW584wFavN7jDpt8u3Pijy9X5y8/HF8eOHSb9dLs/WQLmxck65PezOjwnDuV/3h8NutTh7xPhZ+7vo9tY+zIPb/HXefOL0NZr7I6WGrvQy7e0dstkfMV/vJ8P55y0Wqzt6X0UVi8Xq5IjrB3p7pUKfyAfAWvaayjKzRnK4sz4M4Y4KcUl6OSRhMoQgTG5DmAQ4BrkkSQ69DwAAAADAkTqebyACAAAAAEdHgQgAAAAARCkQAQAAAIAoBSIAAAAAEKVABAAAAACiFIgAAAAAQJQCEQAAAACIUiACAAAAAFEKRAAAAAAgSoEIAAAAAEQpEAEAAACAKAUiAAAAABClQAQAAAAAohSIAAAAAECUAhEAAAAAiFIgAgAAAABRCkQAAAAAIEqBCAAAAABEKRABAAAAgKijKBBfvnz58uXL8554kKEO09CTm3iQoRdymAcZ6jCBjV3Iv2WHeTYTL2eowzT05CYeZKh8yPk5igIRAAAAADhOCkQAAAAAIOreoXcAAE7b1dXVoXcBAIAjIh9yfhSIAJCSy2U9MUmynggAwOrkQ3AJMwAAAABwBwUiAAAAABClQAQAAAAAohSIAAAAAECUAhEAAAAAiFIgAgAAAABRCkQAAAAAIEqBCAAAAABEKRABAAAAgCgFIgAAAAAQpUAEAAAAAKIUiAAAAABAlAIRAAAAAIhSIAIAAAAAUQpEAAAAACBKgQgAAAAARCkQAQAAAICoXJIk22z/8uXLXe0KABzW1dVVyOWynpok4w/Tq6urrEfDfsiHAJwN+RDGfAMRAAAAAIja9huIO5F9s36QLt9hns3EyxnqMA09uYk7GHqIM8xZT4RT4P9knc3Egwy9kMM8yFCHaejJTdzBUPkQfAMRAAAAALiDAhEAAAAAiFIgAgAAAABRCkQAAAAAIEqBCAAAAABEKRABAAAAgCgFIgAAAAAQpUAEAAAAAKIUiAAAAABAlAIRAAAAAIhSIAIAAAAAUQpEAAAAACBKgQgAAAAARCkQAQAAAIAoBSIAAAAAEKVABAAAAACiFIgAAAAAQNS9Q+8AAOzS1dXVVtsnyY52BACAoyAfwvYUiAAcq1wu64lJEn737ayH/s57WU8EADhRB8mHT76R9dDH38x6IizjEmYAAAAAIEqBCAAAAABEKRABAAAAgCgFIgAAAAAQpUAEAAAAAKIUiAAAAABAlAIRAAAAAIhSIAIAAAAAUQpEAAAAACBKgQgAAAAARCkQAQAAAIAoBSIAAAAAEKVABAAAAACiFIgAAAAAQJQCEQAAAACIUiACAAAAAFG5JEm22f7ly5e72hUAmLq6ugq5XNZTkyT87ttZD/2d98YfpldXV1mPhv2QDwHYh4PlwyffyHro42/Khxwb30AEAAAAAKLubbn9Turw7Jv1g3T5DvNsJl7OUIdp6MlNPFFeIs6MfHjMQx2moSc38SBDL+QwDzJUPlyRl4hj4xuIAAAAAECUAhEAAAAAiFIgAgAAAABRCkQAAAAAIEqBCAAAAABEKRABAAAAgCgFIgAAAAAQpUAEAAAAAKIUiAAAAABAlAIRAAAAAIhSIAIAAAAAUQpEAAAAACBKgQgAAAAARCkQAQAAAIAoBSIAAAAAEKVABAAAAACiFIgAAAAAQJQCEQAAAACIunfoHQDgbF1dXW21fZLsaEfW8TvvHWAoAMBlOMl8+PibBxgKR0aBCMBqcrlMxyVJeP5nmU4MITz45fCT72Y99LU3s54IALAT2efDv/7DTCeGEL78G+F772U99I23s54Iy7iEGQAAAACIUiACAAAAAFEKRAAAAAAgSoEIAAAAAEQpEAEAAACAKAUiAAAAABClQAQAAAAAohSIAAAAAECUAhEAAAAAiFIgAgAAAABRCkQAAAAAIEqBCAAAAABEKRABAAAAgCgFIgAAAAAQpUAEAAAAAKIUiAAAAABAVC5Jkm22f/ny5a52BYCjdXV1FXK5TEcmSXj+Z5lODCE8+OXwk+9mPfS1N8cfpldXV1mPhv2QDwEuwWHy4V//YaYTQwhf/o3wvfeyHvrG2/Ihx8Y3EAEAAACAqHtbbr+TOjz7Zv0gXb7DPJuJlzPUYRpKNvxRODPy4TEPdZiGntzEgwy9kMM81FBW4Y/CsfENRAAAAAAgSoEIAAAAAEQpEAEAAACAKAUiAAAAABClQAQAAAAAohSIAAAAAECUAhEAAAAAiFIgAgAAAABRCkQAAAAAIEqBCAAAAABEKRABAAAAgCgFIgAAAAAQpUAEAAAAAKIUiAAAAABAlAIRAAAAAIhSIAIAAAAAUQpEAAAAACDq3qF3AICMXF1dbbV9kuxoR1b24JeznhhCeO3NAwwFADiE08uHX/6NrCeGEN54+wBD4cgoEAFOUC6X9cQkCf/37zOd+LOfCIPvZDoxhFD8fHjxk6yH3n8t64kAwPk5SD58/p8znfjgP4Uf/EWmE0MIn/5a+MFfZj70q1lPhGVcwgwAAAAARCkQAQAAAIAoBSIAAAAAEKVABAAAAACiFIgAAAAAQJQCEQAAAACIUiACAAAAAFEKRAAAAAAgSoEIAAAAAEQpEAEAAACAKAUiAAAAABClQAQAAAAAohSIAAAAAECUAhEAAAAAiFIgAgAAAABRCkQAAAAAIEqBCAAAAABE3dty+5cvX+5kP3b7VEc78SBDHaahJzfxIENP6DCvrq52vicc1vid4C/L2ZAPj3+owzT05CYeZOgJHaYUcX7kQ46NbyACAAAAAFHbfgNxJ3V49s36Qbp8h3k2Ey9nqMM8s6EcLe8Ezox8eMxDHaahJzfxIEMv5DA5Zt4JHBvfQAQAAAAAohSIAAAAAECUAhEAAAAAiFIgAgAAAABRCkQAAAAAIEqBCAAAAABEKRABAAAAgCgFIgAAAAAQpUAEAAAAAKIUiAAAAABAlAIRAAAAAIhSIAIAAAAAUQpEAAAAACBKgQgAAAAARCkQAQAAAIAoBSIAAAAAEKVABAAAAACi7h16BwAu0dXV1VbbJ8mOdmQdP/uJrCcWP5/1xBDC/dcOMBQAuHgnmQ8f/KesJ376a1lPDCF8+qsHGApHRoEIsLVcLtNxSRIGf5vpxBBC8XPhn3+Y6cSfez18648ynRhC+OKvh7/786yHfubrWU8EAPYt+3z4D9/LdGII4RfeCD/+dqYTP/mF8N67mU4MIbz9TvhOJ+uhn69mPRGWcQkzAAAAABClQAQAAAAAohSIAAAAAECUAhEAAAAAiFIgAgAAAABRCkQA4C6jXqtVK5VyM6VSrdUbjQ6xM73aeA9aB5kOAECQDy+SAhEAWGzUa5VKuUKl0egMBqmfDwadRqVQyJVqPTkNAOCCyIcXS4EIACwwapUKlcZcMLxp0KkUnOsFALgQ8uElUyACADeNWqVCY5INi8VqszscJlPDYbdaLI5/OWg8yjIilttJkiRJv57PbiYAAPLhpVMgAgDzRq1Hk3RYrHaH/X67Xs6nElk+X273+8PmOCNmHBEBAMicfHjxFIgAwJzek0k8rHb77XLsXG6+3u9WQwghDJ49lxABAM6XfIgCEQBI673fGf+XYvNx+e6Hlh83i8Vqtfnwldu/G/Xm7803vjVf5IluPjj66EV32Uv/bP6J7py53h4CAFwu+ZBw79A7AAAck2k+rL6zfCGZfL3fX/DjuSVyrg0GnUGl86zafNqef95Rr1aodMKiRzeK1W6/vSSlzjyvlRqdG7cDHFQ6zxY8SXwP15wJAHD25EP50DcQAYC00YcfjP9L8X5hw2eYZq9idbq29nDYrRZDCINOo1DrzT360TgdFpvd2Trcw+54AZ1BpzL36LsMGo3OoFhtTkd2J4vwdN6dX4RnuofFamrobBcrpZWHAgCcPflQPgwKRABgoVdf2exGdpMVcorNYb89XVs7ny+3J8tqp0Pf6PmzQQghVLv9emo1nXx5uoBO5/3Vw1q122/XpyPL9cnEuUV4pkuAV7v9dmpoahdvRUoAAOTDNY75/CgQAYCdGbXevT5f/PT2BS75+tPriHgrf33w4a1AVm6Pz/yufLnIgjV58q+8GkIIYfBiON3DaSRd9MSTXRw0nlz6SWYAgJ2QD8/Dtmsgvnz5cif7sdunOtqJBxnqMA09uYkHGbrxxKurq93uCRdo/PY7j/fS8MV44ZjI+en8K6+GMLgObPn0DxqF0rPqw3ceP5ielF7bopmF+8UQ0mvZTPPhW5HcOdmjDz4chegdBrmbfHj8Qx2moSc38SBD5UMOSD6UD4+NbyACADOTc7KLzvkuN1khJ7pATuF+cf7Zy+3xyjIhDAadRqVQmN3vbs35qy3KM0mwnUou4nrB7tRJaQCASyYfyodh+28g7qQOz75ZP0iX7zDPZuLlDHWYkI3jevtNzskOnj0f1ZffZ2/Uqj0Pbz24cWI4ukDO5PxtSrndH77VevLus85g8ovr+92FUKw233lcv9wTvadKPjzmoQ7T0JObeJCh8iEHd1xvP/kQ30AEAOZMTzHPrSwd03vS6DQalcKj+UVroqenpzfxm59Zrrf7/fGd7prVarE4+cWg06gU9nLLu2o3WWLltXUAAM6bfCgfKhABgHnlx83ra0aWLhQ9WRI7FB8+yIewcFHqecvWwMmX6+3rrNi93o0FS2pv4dY1MgAALCEfokAEAOblHzycRLNKqdaLBalRr1ZojONe9Z3JtSyT/C6KQ1gAACAASURBVNV5f2G27L1/HSiv16MZtUq5XC6XW3ASOV+u97vVEMJul5uZRtjY+fPJLpV2mEoBAE6bfCgfKhABgHn5+tPJ2d1Bp1LI3ViyejTqtWqlUuF6NelQbD4uzzZ9ZxzqFp0Wnp6QngbKSRZdfBJ56ZLbm5icQB80Hi2a2XsyDr2zzAsAgHx48flQgQgA3JSv9yc3vwvXK80UprehKxQqjemC1sVqtz8XpWYBrFCqTXPlaNSrla5PSC8KlPOPDiGMeq3J43ec1abxd9AolGqt2Rn0Ua9Vur7HXnoXAQCQDy8+HyoQAYAFyu3+sDkLiYsUq81h/9Za0vl6f3idwDrTXFkoVDqDySbzgbJ9+9G5XK5QmaTJ4c5Xq07vYaNSWDCyf9GnlwEAFpIPL5kCEQBYLF9v95Nht9msFovppFgsFqvN7jDptyM5Kl/vJ8Nus5reqlisdofDRZvMHj338GK1Oxwme4pqkZnjw7r0dAgAECMfXqxckiSH3ofw8uXLEMLV1dUZTzzIUIdp6MlNPMjQHUzM5Xa2N6tIkjD420wnhhCKnwv//MNMJ/7c6+Fbf5TpxBDCF389/N2fZz30M1/PeiKcgpP8ODiFoQ7T0JObeJChJ5kP/+F7mU4MIfzCG+HH38504ie/EN57N9OJIYS33wnf6WQ99PPVrCfCMr6BCAAAAABEKRABAAAAgCgFIgAAAAAQpUAEAAAAAKIUiAAAAABAlAIRAAAAAIhSIAIAAAAAUQpEAAAAACBKgQgAAAAARN079A4AHNjV1dW2T5Eku9iRdRQ/l/XEEMLPvZ71xC/+etYTQwif+foBhh6r0aj3/Mm7zz4YDAaTHxWL1YcP33pQL+cXPL5Xy1U6IRSbw3590e+3tfD59z103REZ7A8A+3aS+fAX3sh6Ygjhk1/IeuLb72Q9MYTw+eoBhh4r+XCDEeeRDxWIwHnJ5bKemCThX36U6cSPfSr88G8ynRhCeP1L4R+/n+nEj382/NUfZDoxhPCV3ww/+Mush376q1lPXMmoVSo0Brd+PBh0BoNOo1Gsdp+2F6bECzLq1R69e//pKQdBgItwkHz4o29lOvFTXwzf/ZNMJ4YQ3vzV8N0/zXbir4Q//u1MJ4YQfu33wl/8ftZDv/ZbWU9ciXy43BnnQ5cwAwA3RNJhyqBTKZRao6x26Aj1arlCpXPniwQAcDbkw+XOOx8qEAGAOaPWo0k6LFa7w+EwmRkOu81qcfzLQeNJb27DcjtJkiTZ2xnXfT//TuYeaicBAPZHPtxm7nnkQwUiAJA2ev5sHA+r3WG/Xc7n00knny/X2/1hc5wRO+9e9ElmAIDLIB+iQAQA5gxfXOfDt6Jr2OTr74wXEx+8GGa0VwAAHIp8iAIRAJhTuF9c/qDrCzGSdjn1w14tl8vlcnNr34xapVwul8vVeiGEUa9VG//PXC6XK5VqvekjR71WrZT6Xa3Vu3XyetHz32V040lzuVJp4RNf72StN7+HpetJN+aOH13phBBCGDQK8zt1107e3J/FexN58N2PBgDYH/lQPlQgAgBz8g8eFkMIoVMp7TKPfNir5QqVRmpZ6cGgUynkar0QerVSodLoDFK/6zS2W4V71KuVCjeeNITBYPzEtd7Cjd6vze3h4NVXdrdQzahVyt3cn/He5G7vzmjyYs3vfOTRAAD7JR9OH325+VCBCADMmV2A0qgUcrlSrdbq9UZbRsVOo9IJxWp3suL2sHu91nanUipVOoNitTlZjXvYvV5CZ9B4tGFEHLUeje+Al5qYmjnoVBalrE6nE0KxOZzsRfdx+faDQsjX+0mSdMev0eThdy+KPb1tYbHanO3Q8HqHBp3KXOobtR6Nz18Xm3N7P35ZIjsPALA/8qF8qEAEAG4ot5PJOtghDDqdRqVSKKQu8dgotRWbw357umxOvty+jqFhMAjVbr9dn6zGnS/X+92t1tDpPRnfJrDaTU0MIV9uT544fPDhwoOodidJL1+uR9f4WdP0toXVbr+detZ8vjxZcHyQWm98skp5tduvz+399GXpvK9BBACyJR9eej5UIAIAt+Xr/WQ47DarxfSKN9eXeBRyufT6NCupvnPzHGz5reuwVmzeOpU7WWgnkuPu1nu/E3na2RMvjp7VtxaeU97OLPC1Fzx7vv50HBEbT26kvgXHvnBpIQCATMiHO3OK+VCBCAAsls+X6+1+//pqim6zmkqLg856a9AU7xeiv1uwlEz+lVfX3duZ6xi18KqRO5/4rp3c2DQfxsLnZJcmgXDyvweNwhYn9AEA9kA+3IWTzIcKRABgqXy+XK63x2kxtQZNYeXVVna53vSaRqPRqNfr9Vq1Wqk0uTveQnvZyeGL8UrXnUouYnLDvslJ73J7uhjP5IT+5B57ukQA4FjIhxs7yXyoQAQA1pIv1/uTJXCOdzW+Ua9WKuVyuVyuUCgUKpVKpdGZv2vdESu3+zcvD0pdHLTLmx8CAOyAfLh3B8+HCkQAYKZXG5/1XHLqeHonvo0Wodm3UauUK1RmcbBYLFar1WazOxxO7o6XvWo3WWJu5Zrp5UHD4c2LgxqV1c/sAwBsSz7cl5PKhwpEAGBmsoj0slPHow8/yGJ3NjG9qV2x2h2OV7vp99vtdr1ezh/gOpmt1vsO1ysN3bg4KKRuygcAsF/y4a6dZD5UIAIAM/kHD68TYuWu++j1nowz2CHXromYLEpdbD5tl2/t3PUd+DI0XfP62fPFr+eoNb6U5nrN8cn/XHASOV+u96/PkC++SyAAwO7Jh7t2kvlQgQgApEwvPgmdSiF3a2Xm0ajXqk2Xmi42H0duHXecRq13s86HIZQfj88LDxqPFp0WnmTt6jvjuwJOIvrik8iTM/t7uSEgAMAi8uGunWI+VCACAHPK7dk6MLO7vF0rFCqNzvXaMcXm0/qxnV+eBaxB41HqHPlo1KuVcoXGdJXsbRfnub7y5Pq88eiu+9/l608nEbEwt8T1qNeaZO1U1J5E9EGjUKql4/mo1yoV5tMkAEAW5MNVnHc+vLfl9i9fvtzJfuz2qY524kGGOkxDT27ixkOvrq52vieQgfEb/pjewOV2MrxfSqWp24rV5tP2EcbDMA5YzyqdQRh0KoX5E8rFavOd+88qjcH1NR5b7H/+lVdDGIQwaBRyjRBCtTu/yPWNXeoPQ6nQGIRBp1HpNG78utgc9tOvZbk9bH4wfvTNI7h+eHzUUZAPj3+owzT05CZuPPSYPl5hDfLhbsmH2/MNRADgtny9nyTX93crpn5eLBarze4w6R9pOgwhhFBu94fdZurOdGG818N+u16eXIKzbBnw5UOG3Wr6pbn7jHW+3k/GO5XaZvJi3notI48uVrvDRQ8HANg/+XD5kDPOh7kkSfY9Y6nsm/WDdPkO82wmXs7QkzzMXG6Xe7OKJAn/8qNMJ37sU+GHf5PpxBDC618K//j9TCd+/LPhr/4g04khhK/8ZvjBX2Y99NNfzXoinAKfemcz8SBDL+QwDzL0JA/zIPnwR9/KdOKnvhi++yeZTgwhvPmr4bt/mu3EXwl//NuZTgwh/Nrvhb/4/ayHfu23sp4Iy/gGIgAAAAAQpUAEAAAAAKIUiAAAAABAlAIRAAAAAIhSIAIAAAAAUQpEAAAAACBKgQgAAAAARCkQAQAAAIAoBSIAAAAAEKVABAAAAACiFIgAAAAAQJQCEQAAAACIUiACAAAAAFEKRAAAAAAgSoEIAAAAAEQpEAGA89Or5XK5Wm/lx49atVIpd61Ua/VGe9w5AAAyJx9u5d6hdwAAYMd6tUpnrYfn5h4/6DQqnRfdpF3e9Y4BAHAQ8uGWFIjAcbm6utpq+yTZ0Y6s42Ofynri61/KemII4eOfzXriV34z64khhE9/9QBDj0oud+g9mNjwn/OoVyusGQ8rnRBCsdl9Wi/nQxj1Wo8qjUGnUro/7NfzG+0EADt0kvnwU1/MeuKbv5r1xBDCm7+S9cRf+72sJ4YQvvZbBxh6VORD+VCBCOxXxp80SRL+379kOjGE8DMfCz/8m0wnvv6l8OE/ZjoxhPDKx8Pfr/5t/134RDl8/79mOjGE8NlfDN//88yHfj3riedr1Gs9ebfRGay1TevdTgih2u3Xr88n58v1fvdFrtIZPHs+ql9oQgTYn+zz4U++m+nEEMJrb4ZvfzPTiV/4Rvj7bqYTQwifqITvvZfpxDfeDr1sJ4YQym+H7n/Jemjll7KeeL7kw12xBiIAcA5GrVKh0ugMQrHaHXarq271/NkghFB9a/5qlPLjZjGEwbPnl73UDQDAKZMPd0iBCACci2K12R322+XVzwoPXyzKhyHkX3k1hDB4Mdzl7gEAkDH5cEdcwgwAnIN8vZ/U191o9OEHIYTi/cKt3xTuF0MYfPDhKKwRNwEAOB7y4Q4pEAGAlNjS1PtYsuqOZbCPZ61uAIALJx/iEmYAYE4ut/g/Wc46nnR4sdeoAABMyYdpl5oPfQMRAEi55+RiyqKLVwAALot8mHap+VCBCACk/PRPHXoPAAA4JvIhCkQAYM5lnWHOv/JqCIPBi2EIN5bCHt9+79VXLnCFbACAOfLh2GXnQwUiAJByWQExejO9+O33AAAujHwYQrj4fKhABABSfvqyskH+wcNiYzBoPOnV2+XZj3tPGoMQig8fXOYJZgCAFPkwBPnwslpkAGCJex89lv9kI//gYTGE0KmUar1RCCGEUa9VqnTCJedDAICUg8dC+fAIXFaLDAAscd5nmEetUqExCMXmsF+/Dn/5+tPui0KlM+hUCp3UQ6vd6UMAAC6ZfHjtovOhbyACACn3PnIs/8lMvtwedpvV4vQHxWpzmKSvWAEAuGAHj4Xy4RE46xYZAFjXeSySXW4nSXvBz/P1flJf9PNyvV2uL9oCAODSyYcoEAGAOT/9U4feAwAAjol8iAIRAJhzHmeYAQDYFfmQ7QvEly9f7mQ/dvtURzvxIEMdpqGHmnh1dbXbPYFzNf5Xdiz/ZP6Vk4tsSz48/qEO09BDTTyWDzs4evIhx8abAABI+Uju0HsAAMAxkQ/ZvkDcSR2efbN+kC7fYZ7NxMsZelxnveB8Hde/so+4RIVtyYfHPNRhGnpyE+EyHde/MvkQ30AEAOZ89KOH3gMAAI6JfIgCEQCY4wwzAABp8iEKRABgzj1nmAEASJEPUSACAHOcYQYAIE0+RIEIAMxxlz0AANLkQxSIAMCce7IBAAAp8iEKRABgTs4ZZgAAUuRDFIgAwBxr3AAAkCYfokAEAOa4yx4AAGnyIQpEAGCOM8wAAKTJhygQAYA5H3WGGQCAFPkQBSIAMMci2QAApMmHKBABgDkuUQEAIE0+RIEIAMxxiQoAAGnyIQpEAGCOM8wAAKTJhygQAYA5zjADAJAmH6JABADmWCQbAIA0+RAFIgAwxyUqAACkyYcoEIE7XF1dbfsUSbKLHVnHz3ws64khhNe/lPXEVz6e9cQQwifKWU/87C9mPTGE8NmvH2DoUXGJCgBxJ5kPX3sz64khhC98I+uJn6hkPTGE8MbbWU8sZz4xhFD5pQMMPSryIQpEuCDZf+08ScLof2U6Mf9vw+BvM50YQih+Lnz4T5lOfOXnw3//60wnhhD+w5fDP/1dphN//jPhO+1MJ4YQPl8L/e9kPbT0+awn3s0lKgCX4yD58H//ONOJ/+aT4b/9VaYTQwj/8Svh//yPTCf+638f/mcv04khhH9XDj/JNnu/9rnD/DV//O2sh37yC1lPvJt8iAIRAJjzUdkAAIAU+RAFIgAw5yPOMAMAkCIfokAEAObkLJINAECKfIgCEQCYY5FsAADS5EMUiADAHJeoAMD/b+/+gyO96/uAf/bs6UybzjRNVQiFuAZWRzgfNg7BwKrGMT8GVgfUJOUcSBoSkkqdNo00UNPMtPntzqQ4MFKadqptQ+I0IeFoAgVOgoHgEFcbfoQYzPkIJxEoCSVJ1TSdKe2k4Nv+obP17Fmfu5O0930e7b5es3/Ykh59nrV9u2+/n+f7XaBKPkSBCAAMsUk2AABV8iEKRABgSMsVZgAAKuRDFIgAwBCbZAMAUCUfokAEAIbYJBsAgCr5EAUiADDEJtkAAFTJhygQAYAhlqgAAFAlH6JABACGWKICAECVfEiEFhkAqGgdacpjPzaX52dmWhfMzC+vbV7JUWvzrV3Nr+3rJAAAxkrtsVA+bAB3IAIAFYf4CvPafGu2V/n7fm9xtnd2dbDSvfRxm+fOXNXzAgA41ORD3IEIAAxptZry2KO1+dleRHSWVjcGg8FgsLG61ImI3uzM8mUuM2+c7UfE3OrgYpdLlgAAk6D2WCgfNoACEQCoOHKkKY892Vy+uxcRc6vrC912RES0uwvrq3MR0T91+pIJce1dvYjoHJve3z8wAIAxV3sslA8b4KBLmLe2tkZyHqP9VY2dWMtQT9PQiJiamhr5mQCjsv3nuil/To8cyiUqm6dP9SNi7o7ha8Ldu5Y6vcX+qdObCwvt7NBzZyKic/JE9gPsmXzY/KGepqHRnPcdYDfy4cHJh6PlDkQAoKL2C8v7usJ8YZXJHRevKWkfPR4R/bMblzm0c/LoxvL8I9trz8zMX9nu2gAAE6D2WCgfNsBB70AcSR1evlmvpcv3NMdm4kQNBQpo1p/rQ3mF+cJV4l1WmUwf60T0z5zbjO7uV5C3D+0vzs7ufK3f781O9+Yuv702u5MPmzzU0zQUOBSa9edaPpQPfQozADDkB35896///E+Mftb3/1j6rasxblfb16YjOnOr96502xGxubl8z2sXe/3e7MyxjfV0aQsAwIT4gR/f/evy4SRRIAIAFb/wU7t/fa+7Vh9k1sjH9c9uROya9LYvMMfc6vqjV5Pb7YWV9aPRmu1denMcAIDJIB/Kh/ZABACGHLmmKY8Ryj9Cr72wPhgMHrsWpXvHlXxAHwDABKg9FsqHDeAORACg4kir7jNohu3NcfJL0wAAk0I+3DbZ+VCBCABUHDmM2aB99HiS5ra3sDl+dJ8hL780DQAwKeTDqknNh5YwAwAVR1pNeezF9LFORJw5d/GCkvzj9y58f3mm1Wq15tce850DJksAgLFReyyUDxtAgQgAVLSONOWxF+0TJzsR/cV7hpPe2j2L/YjOyRNZzGsfPR4R0XvXRQlxc/nuXkTM3XHx3jcAABOn9lgoHzaAAhEAqLjmmqY89mQ7IUZvdmZ+bfsy8+ba8sxsLy6ZDyO6dy1ddFxsrs3PTC/2IzpLd01oPgQAqKg9FsqHDaBABAAqWq2mPPamvXDv6lxE9Huz061Wq9Wanl3sR8Tc6vrCTj68sCRlZnmzctxSp3pca3q2t33gvQuTuT4FAGBI7bFQPmwABSIAUHHNtU157FW7u7KxujTXefQLnbmljcHKZS8StxfWBxurc51HD+x05lY3BivdiY2HAABVtcdC+bABDuMn6QAAV82eL+02Sbu7sNJdWLnEDyysDxZ2PXBlvXuJ4wAAJpd8iAIRABiyx92pAQAYc/IhCkQAYMhed6cGAGC8yYcoEAGAIYd6iQoAACMnH6JABACGWKICAECVfIgCEQAYYokKAABV8iEKRABgiCvMAABUyYcoEOEQmZqaOtDxg8GITmQv2jeXnth5eemJEXH0WaUnvuDO0hMj4lkvLj3xFfOlJ0bEzCtqGNoorjADHB6HMh/e+PzSE1/46tITI+IZt5aeeEu39MSIeF7x7F3Lv83nf0cNQxtFPkSBCPUovwftYBCf/XjpoU97dvzpF4tOfNx18eD9RSdGxI23xpf/oOjEJzwlPnK66MSIeO6JGp7mpz5cdGJE3HRbfOGh0kOvv6H0xEtzhRmgFrXkw80HSg9t3xx/dK7oxCcdjU/eV3RiRDzz9vjiZ4pOvO7pcd/bi06MiNvvjDPrRScen4mPrRWdGBG3dOPB3y49tHzPfmnyIQpEAGDIEZ+yBwBAhXyIAhEAGHLEEhUAACrkQxSIAMCQI5aoAABQIR+iQAQAhrjCDABAlXyIAhEAGGKTbAAAquRDFIgAwBBLVAAAqJIPUSACAEMsUQEAoEo+RIEIAAw50qr7DAAAaBL5EAUiADDkiGwAAECFfIgCEQAY4gozAABV8iEKRABgiE/ZAwCgSj5EgQgADLFJNgAAVfIhCkQAYMgRV5gBAKiQD1EgAgBDbJINAECVfIgCEQAY0rJJNgAAFfIhCkQAYIglKgAAVMmHHLxA3NraGsl5jPZXNXZiLUM9zaYNnZqaGvmZAIfa9otJU14cbJLNgcmHzR/qaTZtaFPeAoDGkA9pGncgAgAVLVeYAQCokA85eIE4kjq8fLNeS5fvaY7NxLqGAuOqWS8mlqhwYPJhk4d6mmM2FBhXzXoxkQ9xByIAMMQSFQAAquRDFIgAwBBLVAAAqJIPUSACAEOucYUZAIAK+RAFIgAwxBVmAACq5EMUiADAkFar7jMAAKBJ5EMUiADAkGtkAwAAKuRDFIgAwBBLVAAAqJIPUSACAENskg0AQJV8iAIRABjiCjMAAFXyIRH+IwAAKlqtpjz2Y3N5fmamdcHM/PLa5tU+EABg3NUeC+XDBnAHIgBQcYg3yV6bb832Kn/f7y3O9s6uDla6V+tAAIAJIB/Kh+5ABACG1H5heb9XmNfmZ3sR0Vla3RgMBoPBxupSJyJ6szPLl75avO8DAQAmQu2xUD5sAAUiAFDRuqYpjz3ZXL67FxFzq+sL3XZERLS7C+urcxHRP3X6EkFv3wcCAEyI2mOhfNgACkQAYMcgWg157Om0N0+f6kfE3B3Di0q6dy11Lh309n0gAMCEqD0WyodNoEAEAKpajXnswcbZ3WJeRPvo8Yjon90Y+YEAABOj9lgoH9ZPgQgA7BgMWg157OWsN8+diYjOsenHfGf6WCcizpxLrhTv+0AAgElReyyUD5vg8H6SDgAweke+7q/s+vWHv/J/Rz7rmq/7y9m3rsY4AAD2QT4kFIgAQNXDX/mL5DujX7WQzxr1uP7ZjYh2yQMBAMaFfDiaAw85BSLsx9TU1IGOHwxGdCJ78bRn1zD0cdeVnnjjraUnRsQTnlJ64nNPlJ4YdTzNm24rPTEirr+hhqFNstfdqQ+H3dagXN0DgclzKPNh++Yahj7paOmJz7y99MSIuO7ppSfefmfpiRFxfKb0xFsu3pauhBufX8PQJpEPR3PgIadAhIhW2VfDwSD+4MGiEyPiKTfGQ/3SQ2/oxNaXik6cemKs/+eiEyNi5u/GF3+/6MTrvjne+x+KToyIl/1A6f9un3Jj/M57ik6MiOe9PP7r2dJD//ax0hMvYxwDIsBelc+Hn/3dohMj4mnfGg98qPTQm18Qn/900YlPfkbcd6roxIi4/WT80bmiE590NM6sF50YEcdnSv8vxg2d6L+76MSI6LwiPvHB0kOf9aLSEy9DPsSHqAAAFYM40pDHXs46/0y87U/RO340WWay7wMBACZF7bFQPmwCBSIAsGMwaMpjT7LPxMs/Re+gBwIATIjaY6F82AQKRACgqtWYxx60T5zsRPQX71kb+vLaPYv9iM7JE+l14n0fCAAwMWqPhfJh/RSIAMCO2lem7GuJyiNBL3qzM/Nr21eLN9eWZ2Z7cbmYt+8DAQAmQ+2xUD5sAgUiALBjcL4pjz1qL9y7OhcR/d7sdKvVarWmZxf7ETG3ur6wE/M2l2darVZrZnlzjwcCAEyq2mOhfNgECkQAYMf5h5vy2LN2d2VjdWmu8+gXOnNLG4OV7tU7EABgAtQeC+XDJri27hMAABpkr7tTN0u7u7DSXVi5xA8srA8W9nMgAMCkkg8JBSIAULX3tSEAAIwz+ZBQIAIAVftZGwIAwPiSDwkFIgAw5FAvUQEAYOTkQxSIAEDV+a/VfQYAADSJfEgoEAGAqsO9STYAAKMmHxIKRACgyibZAABUyYeEAhEAqLJJNgAAVfIhoUAEAKosUQEAoEo+JBSIAECVTbIBAKiSD4mDF4hbW1sjOY/R/qrGTqxlqKd5aVNTU6M9E4C92n4Fa8jLkSvMHJx82PyhnualNeQFGZhk8iFN4w5EAGCHTbIBAKiSD4mDF4gjqcPLN+u1dPme5thMBBitRr2C2SSbg5MPmzzU0wQ4FBr1CiYfEu5ABACqLFEBAKBKPiQUiABA1cAVZgAAKuRDQoEIAFTZ4wYAgCr5kFAgAgBVAiIAAFXyIaFABACqbJINAECVfEgoEAGAKptkAwBQJR8SCkQAoMoSFQAAquRDQoEIAFRZogIAQJV8SCgQAYAqS1QAAKiSDwkFIgBQ5QozAABV8iGhQAQAquxxAwBAlXxIKBABgCpLVAAAqJIPCQUiAFBliQoAAFXyIaFABACqLFEBAKBKPiQUiABA1cOuMAMAUCEfEgpEAKDKHjcAAFTJh4QCEQCoskQFAIAq+ZCIaA0a0CRvbW1FxNTU1BhPrGXohDxNAEbod3+97jN4xLd+R91nQK0Ep7GZWNdQAEZFPiTcgUjjtFqlJw4G8bG1ohNv6cYnPlB0YkQ868XxGz9Xeui3/2Cc+0TRiUefFW+7p+jEiHjNXfHAh4pOvPkFcd/bi06MiNvvjP67i07svCLe9I+KToyIN/7b+IWfLD30+3609MRLasCFRYBhteTDD/xy0Ykv/u742PuKToyIW14aq28tPXT2dfHxss/02S+Nt/xQ0YkR8fqfjf57ik7svDw++LaiEyPiRa+JtV8sOrH7vfFTrys6MSJ+5K3xc3eVHvqDxf+n5pLkQ0KBCABUnbdJNgAAFfIhoUAEAKrscQMAQJV8SCgQAYAqS1QAAKiSDwkFIgBQ9bAlKgAAVMiHhAIRAKiyRAUAgCr5kFAgAgBVNskGAKBKPiQijtR9AgBAgwwGTXmM1Oby/MxM64KZ+eW1zSs5am2+tav5tdGeHQBAg9UeC+XDJnAHIgCwYxyXqKzNt2Z7lb/v9xZne2dXByvdSx+3ee7MVT0vAIDDQD7cSQwvxwAAGl1JREFUMcH50B2IAMCO8w835TEqa/OzvYjoLK1uDAaDwWBjdakTEb3ZmeXLXGbeONuPiLnVwcUulywBAMZI7bFQPmwCBSIAsOP8oCmP0dhcvrsXEXOr6wvddkREtLsL66tzEdE/dfqSCXHtXb2I6BybHtGpAAAcSrXHQvmwCRSIAMCOwfmmPEZi8/SpfkTM3TF8Tbh711Lncglxe4FK5+SJ9mhOBQDgcKo9FsqHTaBABAB21L4yZbRLVC6sMrnj4jUl7aPHI6J/duMyh3ZOHt1Ynn9ke+2Zmfkr210bAGB81B4L5cMmUCACADtq/3C9kX7K3oWrxLusMpk+1omIM+fSvLd9aH9xdnax17/wtX6/Nzs9AZ+xBwBQUXsslA+bwKcwAwA7ugu7f/29bxn9rJe9Pv3W1Ri3N9vXpiM6c6v3rnTbEbG5uXzPaxd7/d7szLGN9YVJXLkCAEwi+fCCyc6HCkQAYMd7fmY8Z+2uf3YjYtekt32BOeZW1x/9SL12e2Fl/Wi0Znv9U6c3F8Y7IQIAPEI+3Dbh+dASZgBgR+0rU0a6ROVy8o/Qay+sDwaDwcrFm+N077iSD+gDABgftcdC+bAJFIgAwI7a98bezybZa/Otx7haO9Fsb45zye21AQDGSe2xUD5sgoMuYd7a2hrJeYz2VzV2Yi1DD9HTnJqaGvmZADTf9mtmQ14DB+frPoNRah89HtHfbSHK9hY2x4/uc51JfmmakA8Pw9BD9DQb8toIUJh8eNXIh/vkDkQAYMfDDzflsQfdlcFjbC8uyT5ML//4vQvfX55JLlMfMFkCABw2tcdC+bAJDnoH4kjq8PLNei1dvqcJwK4a9ZpZaHOZUtonTnYW+/3Fe9YWqtvVrN2z2I/onDyRxbztS9PRe9faSre6zc3m8t29iJi74+K9b6iSD5s8dEKeJsBh16jXTPlw+7gJz4fuQAQAdgzON+UxGu0TJzsR0ZudmV/bvsy8ubY8M9uLS+bDiO5dSxcdF5tr8zPTi/2IztJdY54PAQB21B4L5cMmUCACADtqX5mynyUql9JeuHd1LiL6vdnpVqvVak3PLvYjYm51fWEnH15YkjKzvFk5bqlTPa41PdvbPvDehfFenwIAUFV7LJQPm0CBCADsGAya8hiZdndlY3VprvPoFzpzSxuDlcteJG4vrA82Vuc6jx7Y6cytbgxWumMfDwEAKmqPhfJhExx0D0QAYJycH9ml3SZpdxdWugsrl/iBhfXBwq4Hrqx3L3EcAMDYkw8vOnAy86ECEQDYcX5Um8sAADAW5ENCgQgAVI3Zp+wBAHBA8iGhQAQAqka3OzUAAONAPiQUiABA1cASFQAAKuRDQoEIAFS5wgwAQJV8SCgQAYAqe9wAAFAlHxIKRACgyqfsAQBQJR8SCkQAoOq8JSoAAFTIh4QCEQCoOm+JCgAAFfIhoUAEAKp8yh4AAFXyIaFABACqfMoeAABV8iGhQAQAqmySDQBAlXxIKBABgCpXmAEAqJIPiYjWYFD/ZphbW1sRMTU1NcYTaxlay9ME4FD76e+u+wwe8cO/XPcZUKsJCU4T8jQBONTkQ8IdiFxGq1V03GAQK/+86MSImP+X8ZmPFJ349OfGQ/2iEyPihk58oPhr7Yu/Ox74UNGJN78g3v6WohMj4s7Xx0dOF5343BPx+x8rOjEivvmWeNubik58zRvj9a8sOjEi3vLO0k8zIl7zxtITL8km2cBllM+Hb/4nRSdGxBv+ddz/zqITb31lfHS16MSIeM5sfPBXSg990XfFh95edOIL7qznP6H3/1LRiS/5nnjfvUUnRsRLXxu/+jNFJ776n8Yb/17RiRHxpv8Ub/2J0kNf92OlJ16SfEgoEAGAqq9ZogIAQIV8SCgQAYCqBmxtAgBAg8iHhAIRAKj62tfqPgMAAJpEPiQUiABA1XlXmAEAqJAPCQUiAFBlk2wAAKrkQ0KBCABU2SQbAIAq+ZBQIAIAVTbJBgCgSj4kFIgAQJVNsgEAqJIPCQUiAFBlk2wAAKrkQ0KBCABUnbdJNgAAFfIhoUAEAKq+aokKAAAV8iGhQAQAqixRAQCgSj4kFIgAQJVNsgEAqJIPCQUiAFBljxsAAKrkQ0KBCABUWaICAECVfEgoEAGAKktUAACokg+JgxeIW1tbIzmP0f6qxk6sZei+J05NTY32TADY1fYLdUNedR+2RIUDkw+bP1Q+BGg4+ZCmcQciALDDEhUAAKrkQ+LgBeJI6vDyzXotXf6EPE0A9qpRL9SWqHBw8mGTh8qHAIdCo16o5UPCHYgAQNVXH677DAAAaBL5kFAgAgBV/+erdZ8BAABNIh8SCkQAoMoVZgAAquRDIuJI3ScAADTIVx9uyuPqWJtvtVrza1f885vL8zMzrQtm5pfXNq/SiQEANFTtsVA+bAJ3IAIAO8Z7icra/GxvTz/eGvr5fm9xtnd2dbDSHfWJAQA0lnw49OOTmg/dgQgA7Kj9wvJVu8K8eXHcu5wLabKztLoxGAwGg43VpU5E9GZnlifjMjMAQIR8WDHJ+dAdiADAjq+M4xXmzbXle+5e7PX3dMzy3b2ImFtdX7hwPbndXVhfPdua7fVPnd5cWGhfhRMFAGge+fCRYyY6H7oDEQDYUfuF5ZFfYd5cnpmeXez1ozO3urE6d6VHnT7Vj4i5O4ZXo3TvWupE9E+dHvtrzAAAF9QeC+XDJnAHIgCw4yqsDWmAztzSv7hroduOtXdd4REbZ3fLhxHto8cj+v2zGxFjfYkZAOAR8uG2Cc+HCkQAYMf4bZLdXlgfLOz1oM1zZyKic2z6Md+ZPtaJ6J85txndcU6IAACPkA8jQj5UIAIAO77yF7t//S9dhcjw/76WfutqjAMAYB/kQ0KBCABUtVrjOWvExn6NCgDAI+TDKzLu+dCHqAAA7NFui1cAAJhc454PFYgAwCG3Nt96jPm1us8KAIC6yIejpkAEALhI++jxuLAQ5SLbH793/OgYr08BAOAxJj0fKhABgEOuuzJ4jJXugX7l9LFORJw5t3nR1/OP3wMAoDHkw1FTIAIAOwaDpjzq1T5xshPRX7xneKXL2j2L/YjOyRPjfYEZAGBH7bFQPmyC1qD2fwMRW1tbETE1NTXGE+saCgDsWJtvzfZibvUKLkBvLs9ML/YjOnOr96502xGba8uvnV3sR3SWNtYXxjwhNoB8CACUIB9emWvrPgGuWPkPMx8M4q0/UXTi634sXn5j0YkR8Z4Ho//uohM7r4gz60UnRsTxmTj986WHnvj+ePDDRSfeeFu8Y7noxIh41ULc/86iE299Zdx3qujEiLj9ZHy07J7Dz+nGT//DohMj4of/XfR+pPTQuZ8qPZHHupAGq9GvvXDv6tnp2V6/Nzvdq/zo3Oq4p0MOk1ry4Zt/qOjEN/xszN5QdGJErD4UH3p70YkvuDM+slp0YkQ8dzbWfrH00O73xu+8t+jE570s/s0bi06MiH/8prj/N4pOvPXb6/m3+f7/WHTiS/5+/OTrik6MiB99a/zsG0oP/aE3l57IY8mHwyxhBgDYTbu7srG6NNd59AuduaWNg26eAwDAoTXB+dAdiADAxOiuDAYru3y9vbA+WNjt692Fle7CbkcAADAO5MMr4w5EAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACB17QGP39raGsl5jPZXNXbivodOTU2N/EwAaIjttwYv9YwN+bDMUC8aAGNMPqRp3IEIAAAAAKQOegfiSOrw8s16LV2+CwgA7MpbA2NGPmz4UACaz1sDTeMORAAAAAAgpUAEAAAAAFIKRAAAAAAgpUAEAAAAAFIKRAAAAAAgpUAEAAAAAFIKRAAAAAAgpUAEAAAAAFIKRAAAAAAgpUAEAAAAAFIKRAAAAAAgpUAEAAAAAFIKRAAAAAAgpUAEAAAAAFIKRAAAAAAgpUAEAAAAAFIKRAAAAAAg1RoMBnWfQ2xtbUXE1NTUGE8EAODKyYcAAM1xbd0ncDi1WqUnDgbxuU+WHvrUZ8bvfbDoxG95UfzJF4pOjIjHXx//a6voxL82FX/25aITI+IbnhCf/3TpoU9+Rvzmrxad+MJXxx88WHRiRDzlxth8oOjE9s3x3z5XdGJE/K2nxv3vLDrx1lfGJ+8rOjEinnl7fKLs615EPOtFpScCV0Mt+fCh9dJDb5iJj7+/6MRnvyR+/2NFJ0bEN98S//NPik7864+PLzxUdGJEXH9D6QwTEe2b49P3F534jFvjc58qOjEinnpTfGmj6MQnTsenPlx0YkTcdFvp/8V48jPioX7RiRFxQyd+6x2lh37bq0pPhMuxhBkAAAAASCkQAQAAAICUAhEAAAAASCkQAQAAAICUAhEAAAAASCkQAQAAAICUAhEAAAAASCkQAQAAAICUAhEAAAAASCkQAQAAAICUAhEAAAAASCkQAQAAAICUAhEAAAAASCkQAQAAAICUAhEAAAAASCkQAQAAAIDUtQc8fmtrayTnMdpfdVUnTk1NjfxMAJhk2+9H3l8YG/IhAByQfEjTuAMRAAAAAEgd9A7EkdTh5Zt1XT4AzeH9iDEjHwLAAXk/omncgQgAAAAApBSIAAAAAEBKgQgAAAAApBSIAAAAAEBKgQgAAAAApBSIAAAAAEBKgQgAAAAApBSIAAAAAEBKgQgAAAAApBSIAAAAAEBKgQgAAAAApBSIAAAAAEBKgQgAAAAApBSIAAAAAEBKgQgAAAAApBSIAAAAAEBKgQgAAAAApBSIAAAAAECqNRgM6j6H2Nraioipqam6TwQAgEaQDwEAmuPauk9gFFqtouMGg3ioX3RiRNzQiS9/rvTQJzw1/vxPi078+sfFn3yh6MSIePz18b//vOjEv/r1pSduD/38mdJDn3w8/uyPi078hm+MP/xs0YkR8U1Pi//xpaIT/8YT48++XHRiRHzDE+JTv1V04k3fFl/8TNGJEXHd0+N33lt66PNeVnoiTILy+fBTHy46MSJuui0+fX/poc+4tXQSvqETD/520YkRcePz47//UdGJf/NJ9cTgWvLhZz5adOLTnxNfKP40rz8en/140YlPe3bpf7AR8fTnlH7pu+m2eqJa/z2lh3ZeXnoiXI4lzAAAAABASoEIAAAAAKQUiAAAAABASoEIAAAAAKQUiAAAAABASoEIAAAAAKQUiAAAAABASoEIAAAAAKQUiAAAAABASoEIAAAAAKQUiAAAAABASoEIAAAAAKQUiAAAAABASoEIAAAAAKQUiAAAAABASoEIAAAAAKSuPeDxW1tbIzmPff+qqampUZ0AANRi+x3QOxpjQz4EgAOSD2kadyACAAAAAKmD3oE4kjpcsw7AJPMOyJiRDwHggLwD0jTuQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUq3BYFD3OQAAAAAADXXtiH9fqzXiX3hZg0H86ReLTnzcdfGHny06MSK+6WnxgV8pPfTF3xWf/K2iE5/5bfGbv1p0YkS88NXxjqWiE1+1GJsPFJ0YEe2b48HfLj30xufHlzaLTnxiO97/S0UnRsRLvid+7zeLTvyWF8Yv/GTRiRHxfT8aH10tOvE5s/HulaITI+IV8/HAfaWH3nx76YlQWC358PNnik588vH44y8UnRgR33h9vGO59NBXLcSv/KuiE7/rn8WvvbnoxIj4zjfEx99fdOKzXxJn1otOjIjjM3Hf20sPvf3OGv7Zvu1NRSdGxGveGB/+9aITb/uOeN+9RSdGxEtfG+/990UnvuwfxK+9pejEiPjO18d/eVfpoX/njtIT4XIsYQYAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUgpEAAAAACClQAQAAAAAUtce8Pitra1H/3pqauqAvw0AJtD2m6m3UcaGfAgAByQf0jTuQAQAAAAAUge9A1EdDgAH5M2UMeM/aQA4IG+mNI07EAEAAACAlAIRAAAAAEgpEAEAAACAlAIRAAAAAEgpEAEAAACAlAIRAAAAAEgpEAEAAACAlAIRAAAAAEgpEAEAAACAlAIRAAAAAEgpEAEAAACAlAIRAAAAAEgpEAEAAACAlAIRAAAAAEgpEAEAAACAlAIRAAAAAEgpEAEAAACAVGswGNR9DgAAAABAQzXiDsStra2tra3xnljLUE/T0EM3sZahE/I0axnqaQL7NiF/lj3NsZk4OUM9TUMP3cRahsqHjJ9GFIgAAAAAQDMpEAEAAACAlD0QAQAAAICUOxABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCEQAAAABIKRABAAAAgJQCE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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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5Djp0TARCgZCKcQh4DFQH5Ohko4BTl+SgRMhJKBcApxCFgM5OdkqIRTkOOnRMBEKBkIpxDHTwmnIMdPCacgx0+JgIlQMhBOIY6fEk5Bjp8STkGOnxIBE6FkIJxCHD8lnIIcPyWcghw/JQImQslAOIU4fko4BTl+SjgFOX5KBEyEkoFwCnH8lHAKcvyUcApy/JQImAglA+EU4vgp4RTk+CnhFOT4KREwEUoGwinE8VPCKcjxU8IpyPFTImAilAyEU4jjp4RTkOOnhFOQ46dEwEQoGQinEMdPCacgx08JpyDHT4mAiVAyEE4hjp8STkGOnxJOQY6fEgEToWQgnEKcOIhLSYlQKo6fEk5Bjp8SAROhZCCcQhwCFgP5ORkq4RTk+CkRMBFKBsIpxCFgMZCfk6ESTkGOnxIBE6FkIJxCHAIWA/k5GSrhFOT4KREwEUoGwinEIWAxkJ+ToRJOQY6fEgEToWQgnEIcAhYD+TkZKuEU5PgpETARSgbCKcQhYDGQn5OhEk5Bjp8SAROhZCCcQhwCFgP5ORkq4RTk+CkRMBFKBsIpxCFgMZCfk6ESTkGOnxIBE6FkIJxCHAIWA/k5GSrhFOT4KREwEUoGwinE8VPCKcjxU8IpyPFTImAilAyEU3d1HJRiIJxCHD8lnIIcPyUCJkLJQHvv1A2nvlIQhFOI46eEU5Djp0TARCgZaO+duu6/uzwErAjk52SohFOQ46dEwEQoGWjvnQhY206GSjgFOX5KBEyEkoH23omAte1kqIRTkOOnRMBEKBlo750IWNtOhko4BTl+SgRMhJKB9t6JgLXtZKiEU5Djp0TARCgZaO+dCFjbToZKOAU5fkoETISSgfbeiYC17WSohFOQ46dEwEQoGWjvndQB41JSIpSK46eEU5Djp0TARCgZaO+dCNjOnroYx08JpyDHT4mAiVAy0N47EbCdPXUxjp8STkGOnxIBE6FkoL13ImA7e+piHD8lnIIcPyUCJkLJQHvvRMB29tTFOH5KOAU5fkoETISSgfbeiYDt7KmLcfyUcApy/JQImAglA+29EwHb2VMX4/gp4RTk+CkRMBFKBtp7JwK2s6cuxvFTwinI8VMiYCKUDLT3TgRsZ09djOOnhFOQ46dEwEQoGWjvnQjYzp66GMdPCacgx0+JgIlQMtDeOxGwnT11MY6fEk5Bjp8SAROhZKC9dyJgO3vqYhw/JZyCHD8lAiZCyUB770TAdvbUxTh+SjgFOX5KBEyEkoH23omA7eypi3H8lHAKcvyUCJgIJQPtvRMB29lTF+P4KeEU5PgpETARSgbaeycCtrOnLsbxU8IpyPFTImAilAy0904EbGdPXYzjp4RTkOOnRMBEKBlo750I2M6euhjHTwmnIMdPiYCJUDLQ3jsRsJ09dTGOnxJOQY6fEgEToWSgvXciYDt76mIcPyWcghw/JQImQslAe+9EwHb21MU4fko4BTl+SgRMhJKB9t6JgO3sqYtx/JRwCnL8lAiYCCUD7b0TAdvZUxfj+CnhFOT4KREwEUoG2nsnArazpy7G8VPCKcjxUyJgIpQMtPdOBGxnT12M46eEU5Djp0TARCgZaO+dCNjOnroYx08JpyDHT4mAiVAy0N47EbCdPXUxjp8STkGOnxIBE6FkoL13ImA7e+piHD8lnIIcPyUCJkLJQHvvRMB29tTFOH5KOAU5fkoETISSgfbeiYDt7KmLcfyUcApy/JQImAglA+29kzpgAqUgCKcQx08JpyDHT4mAiVAy0N47EbC2nQyVcApy/JQImAglA+29EwFr28lQCacgx0+JgIlQMtDeOxGwtp0MlXAKcvyUCJgIJQPtvRMBa9vJUAmnIMdPiYCJUDLQ3jsRsLadDJVwCnL8lAiYCCUD7b0TAWvbyVAJpyDHT4mAiVAy0N47EbC2nQyVcApy/JQImAglA+29EwFr28lQCacgx0+JgIlQMtDeOxGwtp0MlXAKcvyUCJgIJQPtvROXktrZUxfj+CnhFOT4KREwEUoG2nsnArazpy7G8VPCKcjxUzIM2Bevfn/9P0fL+c6/ELAslAxEwAgYu2AQJQP5ORkqGQbsvaNVwD57hYAVoWQgAkbA2AWDKBnIz8lQyS5gX753tA7YJ+v/GY1MWAQyPR8yEAEjYOyCQZQM5OdkqOQWsH/9ydF5wN47+lMCVoKSgQgYAWMXDKJkID8nQyWzgH18dPTj368C9uVbz/4tAStByUAEjICxCwZRMpCfk6GSW8C++zfnjxx+8er3/vns67E/+RUBy0TJQASMgLELBlEykJ+ToZJZwBazDtj6ORxHf75+z1dXkwlmdmK67tuXp+sKecuAlQl1xRIMw+zWdJnHrQP2ydHRj/9w+m8/PTp/JJGA7cMQMIZhqk+Xedw6YB+vbhPP5ZB9ySgCmX5FLAPt9EOIAqUgCKcQx08JpyDHT8n4IcSL33/vDwQsByUDEbAQCKcQx08JpyDHT2kHAvbZK6NXMsuERSDT8yEDEbAQCKcQx08JpyDHT2knAsZXYHkoGYiAhUA4hTh+SjgFOX5KvgH78q3V0w8TF+SQCYtApudDBiJgIRBOIY6fEk5Bjp+Sb8DW10Q8DxkBuy5KBiJgIRBOIY6fEk5Bjp+SccA+e2XxNPrPfzJ+DgfnI4aSgQhYCIRTiOOnhFOQ46dkHLDFdaWWF6MfX4pDJiwCmZ4PGYiAhUA4hTh+SjgFOX5KzgE7/fzPjo6e/fHo6y8CFkTJQAQsBMIpxPFTwinI8VMyDFhgZMIikOn5kIEIWAiEU4jjp4RTkOOnRMBEKBlo7524mO/OnroYx08JpyDHT4mAiVAy0N47EbCdPXUxjp8STkGOnxIBE6FkoL13ImA7e+piHD8lnIIcPyUCJkLJQHvvRMB29tTFOH5KOAU5fkoETISSgfbeiYDt7KmLcfyUcApy/JQImAglA+29EwHb2VMX4/gp4RTk+CkRMBFKBtp7JwK2s6cuxvFTwinI8VMiYCKUDLT3TgRsZ09djOOnhFOQ46dEwEQoGWjvnQjYzp66GMdPCacgx0+JgIlQMtDeOxGwnT11MY6fEk5Bjp8SAROhZKC9dyJgO3vqYhw/JZyCHD8lAiZCyUB770TAdvbUxTh+SjgFOX5KBEyEkoH23omA7eypi3H8lHAKcvyUCJgIJQPtvRMB29lTF+P4KeEU5PgpETARSgbaeycCtrOnLsbxU8IpyPFTImAilAy0904EbGdPXYzjp4RTkOOnRMBEKBlo750I2M6euhjHTwmnIMdPiYCJUDLQ3jsRsJ09dTGOnxJOQY6fEgEToWSgvXciYDt76mIcPyWcghw/JQImQslAe+9EwHb21MU4fko4BTl+SgRMhJKB9t6JgO3sqYtx/JRwCnL8lAiYCCUD7b0TAdvZUxfj+CnhFOT4KREwEUoG2nsnArazpy7G8VPCKcjxUyJgIpQMtPdOBGxnT12M46eEU5Djp0TARCgZaO+dCNjOnroYx08JpyDHT4mAiVAy0N47EbCdPXUxjp8STkGOnxIBE6FkoL13ImA7e+piHD8lnIIcPyUCJkLJQHvvRMB29tTFOH5KOAU5fkoETISSgfbeiYDt7KmLcfyUcApy/JQImAglA+29EwHb2VMX4/gp4RTk+CkRMBFKBtp7J3XABEpBEE4hjp8STkGOnxIBE6FkoL13ImBtOxkq4RTk+CkRMBFKBtp7JwLWtpOhEk5Bjp8SAROhZKC9dyJgbTsZKuEU5PgpETARSgbaeycC1raToRJOQY6fEgEToWSgvXciYG07GSrhFOT4KREwEUoG2nsnAta2k6ESTkGOnxIBE6FkoL13ImBtOxkq4RTk+CkRMBFKBtp7JwLWtpOhEk5Bjp8SAROhZKC9dyJgbTsZKuEU5PgpETARSgbaeycuJbWzpy7G8VPCKcjxUyJgIpQMtPdOBGxnT12M46eEU5Djp0TARCgZaO+dCNjOnroYx08JpyDHT4mAiVAy0N47EbCdPXUxjp8STkGOnxIBE6FkoL13ImA7e+piHD8lnIIcPyUCJkLJQI04dbMzf+RswK5B6kcTsMC9tnLqplAqjp8STkGOnxIBE6FkoDac5vs12535gF2rhcu5iYCVflW4aVpeToZKOAU5fkoETISSgdpwGlXol5enKGBfuzxbCxivTeOzLoaSgfycDJUImAglA7XhRMCKpuXlZKiEU5Djp0TARCgZqA0nAlY0LS8nQyWcghw/JQImQslAbTgZBWzTRP5yBIxdMIqSgfycDJUImAglA7XhRMBu3CkG8nMyVMIpyPFTImAilAzUhhMBu3GnGMjPyVAJpyDHT4mAiVAyUBtOBOzGnWIgPydDJZyCHD8lAiZCyUBtOBGwG3eKgfycDJVwCnL8lAiYCCUDteFEwG7cKQbyczJUwinI8VMiYCKUDNSGEwG7cacYyM/JUAmnIMdPiYCJUDJQG04E7MadYiA/J0MlnIIcPyUCJkLJQG04EbAbd4qB/JwMlXAKcvyUCJgIJQO14UTAbtwpBvJzMlTCKcjxUyJgIpQM1IaTUcC4lJQIpeL4KeEU5PgpETARSgZqw4mAFU3Ly8lQCacgx0+JgIlQMlAbTgSsaFpeToZKOAU5fkoETISSgdpwImBF0/JyMlTCKcjxUyJgIpQM1IYTASualpeToRJOQY6fEgEToWSgNpwIWNG0vJwMlXAKcvyUCJgIJQO14UTAiqbl5WSohFOQ46dEwEQoGagNJwJWNC0vJ0MlnIIcPyUCJkLJQG04EbCiaXk5GSrhFOT4KREwEUoGasOJgBVNy8vJUAmnIMdPiYCJUDJQG04ErGhaXk6GSjgFOX5KBEyEkoHacCJgRdPycjJUwinI8VMiYCKUDNSGEwErmpaXk6ESTkGOnxIBE6FkoDacCFjRtLycDJVwCnL8lAiYCCUDteFEwIqm5eVkqIRTkOOnRMBEKBmoDScCVjQtLydDJZyCHD8lAiZCyUBtOBGwoml5ORkq4RTk+CkRMBFKBmrDiYAVTcvLyVAJpyDHT4mAiVAyUBtOBKxoWl5Ohko4BTl+SgRMhJKB2nAiYEXT8nIyVMIpyPFTImAilAzUhhMBK5qWl5OhEk5Bjp8SAROhZKA2nAhY0bS8nAyVcApy/JQImAglA7XhRMCKpuXlZKiEU5Djp0TARCgZqA0nAlY0LS8nQyWcghw/JQImQslAbTgRsKJpeTkZKuEU5PgpETARSgZqw4mAFU3Ly8lQCacgx0+JgIlQMlAbTgSsaFpeToZKOAU5fkoETISSgdpwImBF0/JyMlTCKcjxUyJgIpQM1IYTASualpeToRJOQY6fEgEToWSgNpwIWNG0vJwMlXAKcvyUCJgIJQO14WQUsE0T+csRMHbBKEoG8nMyVCJgIpQM1IYTAbtxpxjIz8lQCacgx0+JgIlQMlAbTgTsxp1iID8nQyWcghw/JQImQslAbTgRsBt3ioH8nAyVcApy/JQImAglA7XhRMBu3CkG8nMyVMIpyPFTImAilAzUhhMBu3GnGMjPyVAJpyDHT4mAiVAyUBtOBOzGnWIgPydDJZyCHD8lAiZCyUBtOBGwG3eKgfycDJVwCnL8lAiYCCUDteFEwG7cKQbyczJUwinI8VMiYCKUDNSGEwG7cacYyM/JUAmnIMdPiYCJUDJQG05GAeNSUiKUiuOnhFOQ46dEwEQoGagNJwJWNC0vJ0MlnIIcPyUCJkLJQG04EbCiaXk5GSrhFOT4KREwEUoGasOJgBVNy8vJUAmnIMdPiYCJUDJQG04ErGhaXk6GSjgFOX5KBEyEkoHacCJgRdPycjJUwinI8VMiYCKUDNSGEwErmpaXk6ESTkGOnxIBE6FkoDacCFjRtLycDJVwCnL8lAiYCCUDteFEwIqm5eVkqIRTkOOnRMBEKBmoDScCVjQtLydDJZyCHD8lAiZCyUBtOBkFbNNE/nIEjF0wipKB/JwMlQiYCCUDteFEwG7cKQbyczJUwinI8VMiYCKUDNSGEwG7cacYyM/JUAmnIMdPiYCJUDJQG04E7MadYiA/J0MlnIIcPyUCJkLJQG04EbAbd4qB/JwMlXAKcvyUCJgIJQO14UTAbtwpBvJzMlTCKcjxUyJgIpQM1IYTAbtxpxjIz8lQCacgx0+JgIlQMlAbTgTsxp1iID8nQyWcghw/JQImQslAbTgRsBt3ioH8nAyVcApy/JQImAglA7XhRMBu3CkG8nMyVMIpyPFTImAilAzUhpNRwLiUlAil4vgp4RTk+CkRMBFKBmrDiYAVTcvLyVAJpyDHT4mAiVAyUBtOBKxoWl5Ohko4BTl+SgRMhJKB2nAiYEXT8nIyVMIpyPFTImAilAzUhhMBK5qWl5OhEk5Bjp8SAROhZKA2nAhY0bS8nAyVcApy/JQImAglA7XhRMCKpuXlZKiEU5Djp0TARCgZqA0nAlY0LS8nQyWcghw/JQImQslAbTgRsKJpeTkZKuEU5PgpETARSgZqw4mAFU3Ly8lQCacgx0+JgIlQMlAbTgSsaFpeToZKOAU5fkoETISSgdpwImBF0/JyMlTCKcjxU9rNgDHu03XfvjyjgO9Yq9sAACAASURBVF3n0MF7BwHbqLK8x7K/SzfvxDBMc9PdHFpWXBHI9B8UMhBfgfEVGP+MD6JkID8nQ6Xd/ApMJiwCmZ4PGYiAETB2wSBKBvJzMlQiYCKUDNSGEwErmpaXk6ESTkGOnxIBE6FkoDacCFjRtLycDJVwCnL8lAiYCCUDteFEwIqm5eVkqIRTkOOnRMBEKBmoDScCVjQtLydDJZyCHD8lAiZCyUBtOBGwoml5ORkq4RTk+CkRMBFKBmrDiYAVTcvLyVAJpyDHT4mAiVAyUBtOBKxoWl5Ohko4BTl+SgRMhJKB2nAiYEXT8nIyVMIpyPFTImAilAzUhhMBK5qWl5OhEk5Bjp8SAROhZKA2nAhY0bS8nAyVcApy/JQImAglA7XhRMCKpuXlZKiEU5Djp0TARCgZqA0nAlY0LS8nQyWcghw/JQImQslAbTgRsKJpeTkZKuEU5PgpETARSgZqw4mAFU3Ly8lQCacgx0+JgIlQMlAbTgSsaFpeToZKOAU5fkoETISSgdpwMgrYpon85QgYu2AUJQP5ORkqETARSgZqw4mA3bhTDOTnZKiEU5Djp0TARCgZqA0nAnbjTjGQn5OhEk5Bjp8SAROhZKA2nAjYjTvFQH5Ohko4BTl+SgRMhJKB2nAiYDfuFAP5ORkq4RTk+CkRMBFKBmrDiYDduFMM5OdkqIRTkOOnRMBEKBmoDScCduNOMZCfk6ESTkGOnxIBE6FkoDacCNiNO8VAfk6GSjgFOX5KBEyEkoHacCJgN+4UA/k5GSrhFOT4KREwEUoGasNpBwPWXZnrOK1BbZy6SZSK46eEU5Djp0TARCgZqA0no4AFLyXVdVMF41JSPUrF8VPCKcjxUyJgIpQM1IbTLgZsypCA9SgVx08JpyDHT4mAiVAyUBtOBKxoWl5Ohko4BTl+SgRMhJKB2nAiYEXT8nIyVMIpyPFTImAilAzUhhMBK5qWl5OhEk5Bjp8SAROhZKA2nAhY0bS8nAyVcApy/JQImAglA7XhRMCKpuXlZKiEU5Djp0TARCgZqA0nAlY0LS8nQyWcghw/JQImQslAbTgRsKJpeTkZKuEU5PgpETARSgZqw4mAFU3Ly8lQCacgx0+JgIlQMlAbTkYB2zQbA7bRaQ1q49RNolQcPyWcghw/JQImQslAbTgRMIWTAOTnZKiEU5Djp0TARCgZqA0nAqZwEoD8nAyVcApy/JQImAglA7XhRMAUTgKQn5OhEk5Bjp8SAROhZKA2nAiYwkkA8nMyVMIpyPFTImAilAzUhhMBUzgJQH5Ohko4BTl+SgRMhJKB2nAiYAonAcjPyVAJpyDHT4mAiVAyUBtOBEzhJAD5ORkq4RTk+CkRMBFKBmrDiYApnAQgPydDJZyCHD8lAiZCyUBtOBEwhZMA5OdkqIRTkOOnRMBEKBmoDSejgC3vceb9GwPGpaR6lIrjp4RTkOOnRMBEKBmoDScCVjQtLydDJZyCHD8lAiZCyUBtOBGwoml5ORkq4RTk+CkRMBFKBmrDiYAVTcvLyVAJpyDHT4mAiVAyUBtOBKxoWl5Ohko4BTl+SgRMhJKB2nAiYEXT8nIyVMIpyPFTImAilAzUhhMBK5qWl5OhEk5Bjp8SAROhZKA2nAhY0bS8nAyVcApy/JQImAglA7XhRMCKpuXlZKiEU5Djp0TARCgZqA0nAlY0LS8nQyWcghw/JQImQslAbTgRsKJpeTkZKuEU5PgpETARSgZqw4mAFU3Ly8lQCacgx0+JgIlQMlAbTgSsaFpeToZKOAU5fkoETISSgdpwImBF0/JyMlTCKcjxUyJgIpQM1IYTASualpeToRJOQY6fEgEToWSgNpwIWNG0vJwMlXAKcvyUCJgIJQO14UTAiqbl5WSohFOQ46dEwEQoGagNJwJWNC0vJ0MlnIIcPyUCJkLJQG04EbCiaXk5GSrhFOT4KREwEUoGasOJgBVNy8vJUAmnIMdPiYCJUDJQG04ErGhaXk6GSjgFOX5KBEyEkoHacCJgRdPycjJUwinI8VMiYCKUDNSGEwErmpaXk6ESTkGOnxIBE6FkoDacCFjRtLycDJVwCnL8lOoF7OS37/ycgI1BbTgRsKJpeTkZKuEU5Pgp1QjYo7/46PT08XNnu8KTbxKwIagNJwJWNC0vJ0MlnIIcP6UKAbvffeUfT0+Pl9vC4v8I2BVQG04ErGhaXk6GSjgFOX5K2w/Yg2W2Hh52tz56dKd7hoANQG04EbCiaXk5GSrhFOT4KW0/YMdn5Vpk7ODNxa+L/ydgl0FtOBGwoml5ORkq4RTk+CltPWAn9xblWmXs8Z28xxBlwiKQ6fmQgQgYAWMXDKJkID8nQ6WtB6xv1uM73VOnBCwFasPJKGCbZmPANjqtQW2cukmUiuOnhFOQ46dUKWAPD7u7BCwJasOJgCmcBCA/J0MlnIIcP6VKDyHeX34LjO+BJUBtOBEwhZMA5OdkqIRTkOOnVONJHE8tnn64KBfPQkyA2nAiYAonAcjPyVAJpyDHT6nK0+gXc/f05LWu/zqMgF0GteFEwBROApCfk6ESTkGOn1KVFzKfzVPLJ3Ic3M3qF+cjhpKBCBgBYxcMomQgPydDpSqXknr9xTfObh7/8TffzesX5yOGkoEIGAFjFwyiZCA/J0OlGgErH5mwCGR6PmQgAkbA2AWDKBnIz8lQiYCJUDJQG04ETOEkAPk5GSrhFOT4KVUK2O/W8yEBG4DacCJgCicByM/JUAmnIMdPqULAHr3WXQwvZB6C2nAyCtjyHmfevzFgXEqqR6k4fko4BTl+StsP2OM7HQGbAbXhRMCKpuXlZKiEU5Djp7T9gN3vuid/+M56fs6VOAagNpwIWNG0vJwMlXAKcvyUKlxKankZ37KRCYtApudDBiJgBIxdMIiSgfycDJW2HrDHdzKvvkHAro2SgQgYAWMXDKJkID8nQ6UKAcv7thcBuz5KBiJgBIxdMIiSgfycDJUqPITIV2CzoDacCFjRtLycDJVwCnL8lGo8iSPvCvQE7NooGYiAETB2wSBKBvJzMlTafsDOvgR7mYBNg9pwImBF0/JyMlTCKcjxU9r+Q4ivP991B0+/sJoXeRr9ANSGEwErmpaXk6ESTkGOn1KFJ3Fcfh0zL2QegdpwMgrYptkYsI1Oa1Abp24SpeL4KeEU5PgpETARSgZqw4mAKZwEID8nQyWcghw/pe1/D0wxMmERyPR8yEAEjICxCwZRMpCfk6ESAROhZKA2nAiYwkkA8nMyVMIpyPFTImAilAzUhhMBUzgJQH5Ohko4BTl+SlUC9unbt7vu4PZLeT8MjIBFUTIQASNg7IJBlAzk52SoVCNg98+fwpH7kmaZsAhkej5kIAJGwNgFgygZyM/JUKlCwBb9euLpF57/en7BZMIikOn5kIEIGAFjFwyiZCA/J0Ol7Qfs4WF3693l/z2612VeF1EmLAKZng8ZiIARMHbBIEoG8nMyVNp+wI67W+urb2T/bDCZsAhkej5kIAJGwNgFgygZyM/JUGn7l5K6fDX6h4e3uJTUANSGk1HAlvc48/6NAeNSUj1KxfFTwinI8VOqcCWOSxffyP3hYDJhEcj0fMhABIyAsQsGUTKQn5OhEgEToWSgNpwIWNG0vJwMlXAKcvyUKjyE2N09/82DjocQh6A2nAhY0bS8nAyVcApy/JR4EocIJQO14UTAiqbl5WSohFOQ46dU5Wn0T/5i+X8fPMfT6MegNpwIWNG0vJwMlXAKcvyUKr2Qubt9+3bBpThkwiKQ6fmQgQgYAWMXDKJkID8nQ6Ual5L6zeHqSlIHL+f1i/MRQ8lABIyAsQsGUTKQn5OhUo2AnZ68//zZV2BPv5H1BA4CFkbJQASMgLELBlEykJ+ToVKVgBWPTFgEMj0fMhABI2DsgkGUDOTnZKhEwEQoGagNJwJWNC0vJ0MlnIIcP6V6ATv57Ts/J2BjUBtOBKxoWl5Ohko4BTl+SjUC9ugvPjo9ffzc2a7wZN6z6DkfMZQMRMAIGLtgECUD+TkZKlV5Gv3i+lHHy20h70pSnI8YSgYiYASMXTCIkoH8nAyVth+wB8tsLX4q2EeP7mS+EEwmLAKZng8ZiIARMHbBIEoG8nMyVKp1KakHy4twcC3EMagNJwJWNC0vJ0MlnIIcP6WtB2z188D6jHE1+jGoDScCVjQtLydDJZyCHD+lrQesb9bjO8vL+BKwMagNJwJWNC0vJ0MlnIIcP6VKAXt4uPyhKgRsDGrDiYAVTcvLyVAJpyDHT6nSQ4j3++vQ8z2wMagNJwJWNC0vJ0MlnIIcP6UaT+J4avH0w0W5eBZiAtSGEwErmpaXk6ESTkGOn1KVp9Ev5u7pyWsdPw9sDGrDiYAVTcvLyVAJpyDHT6nKC5nP5qnlEzkO7mb1i/MRQ8lABIyAsQsGUTKQn5OhUpVLSb3+4htnN4//+Jvv5vWL8xFDyUAEjICxCwZRMpCfk6FSjYCVj0xYBDI9HzIQASNg7IJBlAzk52SoRMBEKBmoDScCVjQtLydDJZyCHD+lLQbs5PUXXvxo8evleZGn0Q9AbTgRsKJpeTkZKuEU5PgpbTFgj+8sruJ79uvl4YXMQ1AbTgSsaFpeToZKOAU5fkqGAfvi1e+v/u/Ln75ydPSjXxGwTJQMRMAIGLtgECUD+TkZKhl+D+y9o++vS3a0mO/8CwHLQ8lABIyAsQsGUTKQn5Ohkl3AvnzvaB2w946+96vTz986+t4fCFgWSgba6YBtmo0B2+i0BrVx6iZRKo6fEk5Bjp9ShUtJzb76619/crQO2GevLL/2+uLVZ/+WgGWhZCACRsDYBYMoGcjPyVBp6wF7fKebufzGx0dHP/79KmAfn9/+KQHLQslABIyAsQsGUTKQn5OhUoWAzT3x8OPv/s3pJ6twvXf058vb9e8J2HVRMhABI2DsgkGUDOTnZKi09YCtfiLzzKyC9eVbq4cOP3tl/U2wr65m/njGYLru25dnFLDrHDqYQcCuJXVlhu+cMRw5XeNeGYbZwenSb77f3Zq/BCIBa2AcAzYiDd5LwBiGWU+XfvOnf9d1Tzw9cyWOccBGT6SXfckoApl+RSwD1X0IcXBo9kOIE48D8hBiEKXi+CnhFOT4KdV4EseGFzJPfwVGwK6HkoEIGAFjFwyiZCA/J0MlAiZCyUBtOBGwoml5ORkq4RTk+CnZvZD5lGchylAyEAEjYOyCQZQM5OdkqGQcsPXrv3gdWC5KBtrpgC0PS4JXf7v13U4ZcimpHqXi+CnhFOT4KRkHjCtxlKJkIAJGwNgFgygZyM/JUKlOwE5+t5r3//3k98BOv3zr6LtcC7EEJQMRMALGLhhEyUB+ToZKFQL26LXQkzhOTz/navRlKBmIgBEwdsEgSgbyczJU2n7Arj4N8dZMwE4//+lZv340+vqLgAVRMhABI2DsgkGUDOTnZKi0/YDd77qDp58/XPzXHbyc/jObRiYsApmeDxmIgBEwdsEgSgbyczJUqnAtxO7WR4tf7y6vKjW+EAcBk6FkIAJGwNgFgygZyM/JUKnCC5mXF/O93z1z9uvx3I9WIWClKBmIgBEwdsEgSgbyczJUqhCw5fM2HnRPnf9KwC6D2nAiYEXT8nIyVMIpyPFTqhewxaOHj+/kPYYoExaBTM+HDETACBi7YBAlA/k5GSpV+B7Y8iHEh4eLjs3/dEsCVoiSgXY6YNPg1d9u/d4ZQwLGLhhFyUB+ToZK238W4vHyu1/9t8L6jBGwy6A2nAhY0bS8nAyVcApy/JS2H7CHh9033108DfGZRcx4CHEIasOJgBVNy8vJUAmnIMdPqcKVOI6X19940HUHh93yqzECdhnUhhMBK5qWl5OhEk5Bjp9ShYCd/nrxwOHJ8fJCHLwObAhqw4mAFU3Ly8lQCacgx0+pRsBOT//zWbdOfnP79kt5/eJ8xFAyEAEjYOyCQZQM5OdkqFQnYKUjExaBTM+HDETACBi7YBAlA/k5GSpVC9jvCFga1IYTASualpeToRJOQY6fUpWAvf+Dxfe/Dr75LgEbg9pwImBF0/JyMlTCKcjxU6oQsJN75z9M5Vt8D2wEasOJgBVNy8vJUAmnIMdPafsBW/Tr4Om/fufvnz/sMi+FyPmIoWSgnQ7Y8rAkePW3W9/tlCGXkupRKo6fEk5Bjp/S9gN2v+v+qP/C6+TvOq5GPwK14UTAiqbl5WSohFOQ46e09YD1l+BYzTFXox+B2nAiYEXT8nIyVMIpyPFT2nrAVj8PrB+uhTgGteFEwIqm5eVkqIRTkOOnVCFgl5rF1ejHoDacCFjRtLycDJVwCnL8lCo8hHjlKzAu5jsEteFEwIqm5eVkqIRTkOOnVONJHE8l/5+A9aA2nAhY0bS8nAyVcApy/JSqPI1+/fKv+13eI4icjxhKBiJgBIxdMIiSgfycDJW2/xDi64vXfz390jv/sLj9xgvLefGaDyTKhEUg0/MhAxEwAsYuGETJQH5OhkoVnsTRjee6X4jJhEUg0/MhAxEwAsYuGETJQH5OhkoETISSgdpwImBF0/JyMlTCKcjxU9r+98AUIxMWgUzPhwxEwAgYu2AQJQP5ORkqETARSgZqw4mAFU3Ly8lQCacgx0+JgIlQMlAbTgSsaFpeToZKOAU5fkpVAvbbd87n57yQeQBqw4mAFU3Ly8lQCacgx0+pQsB+fVjw9A0Cdg2UDETACBi7YBAlA/k5GSptP2APip5/SMCugZKBCBgBYxcMomQgPydDpe2/kPled/DG787nw5x+cT5iKBmIgBEwdsEgSgbyczJUqvE6sLwfYknAro2SgQgYAWMXDKJkID8nQ6UKAcu8/iEBuzZKBiJgBIxdMIiSgfycDJUqPIRIwGZBbTgRsKJpeTkZKuEU5Pgpbf9JHPd5CHEW1IYTASualpeToRJOQY6f0vYD9vjOpZ9oScBGoDacCFjRtLycDJVwCnL8lCq8DuzRne7JF9Zz3R+kQsCugZKBCBgBYxcMomQgPydDpQoB+xmvA5sDteFEwIqm5eVkqIRTkOOnVON7YARsDtSGEwErmpaXk6ESTkGOn1KdFzJnPW5IwK6LkoEIGAFjFwyiZCA/J0OlCq8DK38OB+cjhpKBCBgBYxcMomQgPydDJV7ILELJQG04EbCiaXk5GSrhFOT4KfFCZhFKBmrDiYAVTcvLyVAJpyDHT6nGkzieIWAzoDacjAI2DV797dbvnTEkYOyCUZQM5OdkqLT9gJ3cO3iZgE2D2nAiYEXT8nIyVMIpyPFT2v5DiK8/33UHT/NC5ilQG04ErGhaXk6GSjgFOX5KFZ7EwevAZkFtOBGwoml5ORkq4RTk+CkRMBFKBmrDiYAVTcvLyVAJpyDHT6nCpaQEIxMWgUzPhwxEwAgYu2AQJQP5ORkqETARSgZqw4mAFU3Ly8lQCacgx0+JgIlQMlAbTgSsaFpeToZKOAU5fkpVAvbp27e77uD2Sx8SsDGoDScCVjQtLydDJZyCHD+lGgG7uB597kuaZcIikOn5kIEIGAFjFwyiZCA/J0OlCgFb9OuJp194/uv5BZMJi0Cm50MG2umALQ9Lgld/u/XdThlyKakepeL4KeEU5PgpbT9gDw+7W+8u/+/RvS7zyvQyYRHI9HzIQASMgLELBlEykJ+TodL2A3bc3VpffePkXvcUARuA2nAiYEXT8nIyVMIpyPFT2v6lpO5d+qrr4eEtLiU1ALXhRMCKpuXlZKiEU5Djp1ThShyXLr6R+8PBZMIikOn5kIEIGAFjFwyiZCA/J0MlAiZCyUBtOBGwoml5ORkq4RTk+ClVeAixu3v+mwcdDyEOQW04EbCiaXk5GSrhFOT4KfEkDhFKBmrDiYAVTcvLyVAJpyDHT6nK0+if/MXy/z54jqfRj0FtOBGwoml5ORkq4RTk+ClVeiFzd/v27YJLcciERSDT8yEDETACxi4YRMlAfk6GSjUuJfWbw9WVpA5ezusX5yOGkoF2OmDT4NXfbv3eGUMCxi4YRclAfk6GSjUCdnry/vNnX4E9/UbWEzgIWBglAxEwAsYuGETJQH5OhkpVAlY8MmERyPR8yEAEjICxCwZRMpCfk6ESAROhZKA2nAhY0bS8nAyVcApy/JS2HrBPVz8E7OE38h9B5HzEUDIQASNg7IJBlAzk52SotOWAPXpu/cTD+wXP4eB8xFAyEAEjYOyCQZQM5OdkqLTdgC2ef7h66fLf8QMt06A2nAhY0bS8nAyVcApy/JS2GrAHZ81avYj59PTkZ2e/uzv6MwRMRSJgm8Crv936vQRsHqXi+CnhFOT4KW0zYI/vXP2a637X5V3Ll/MRQ8lABIyAsQsGUTKQn5Oh0jYDdhasK9fuPbmX+yCiTFgEMj0fMhABI2DsgkGUDOTnZKi0xYAtenX1IcMHHVejH4HacDIK2PKwJHj1t1vf7ZQhl5LqUSqOnxJOQY6f0hYD9vjO8Nq9Dw8zH0OUCYtApudDBiJgBIxdMIiSgfycDJW2G7BBrsZvIWCNOBGwoml5ORkq4RTk+CkRMBFKBmrDiYAVTcvLyVAJpyDHT2m73wMbP4TI98CGoDacCFjRtLycDJVwCnL8lLb5LMTj4ZMO73f8ROYRqA0nAlY0LS8nQyWcghw/pW0GbPikQ55GnwK14UTAiqbl5WSohFOQ46dU84XMx7yQOQFqw4mAFU3Ly8lQCacgx09p65eS+tb6a7BHr+VfDFEmLAKZng8ZiIARMHbBIEoG8nMyVNpqwBbf9Oq6J//qnXfeefu5xf/mfQeMgAVRMhABI2DsgkGUDOTnZKi03YCd/vqwu5iD/5DZL85HDCUDETACxi4YRMlAfk6GSlsOWP/AYZ+vb32Y2y/ORwwlAxEwAsYuGETJQH5OhkrbDtjZfPAPr7/ww3fy60XAoigZiIARMHbBIEoG8nMyVKoQMMHIhEUg0/MhAxEwAsYuGETJQH5OhkoETISSgdpwImBF0/JyMlTCKcjxUyJgIpQM1IYTASualpeToRJOQY6fEgEToWSgNpwIWNG0vJwMlXAKcvyUCJgIJQO14UTAiqbl5WSohFOQ46dEwEQoGagNJwJWNC0vJ0MlnIIcPyUCJkLJQG04EbCiaXk5GSrhFOT4KREwEUoGasOJgBVNy8vJUAmnIMdPiYCJUDJQG04ErGhaXk6GSjgFOX5KtQJ2wpU4JkBtOBGwoml5ORkq4RTk+ClVCdj7P1j8JLDHf/zSR5N/hIAJUDIQASNg7IJBlAzk52SoVCFgJz9bbAhnAbvTPZn38yw5HzGUDETACBi7YBAlA/k5GSpVCNhx1z35Px5+5R9P/mPX3cr7GkwmLAKZng8ZiIARMHbBIEoG8nMyVNp+wB503cunj+985eyLr98cdncJ2ADUhhMBK5qWl5OhEk5Bjp/S9gN23D1zugrY6f3Mn8ksExaBTM+HDETACBi7YBAlA/k5GSptPWAn9w7ePA/Yw8OvZH0XTCYsApmej+Rbu2vMvNP8sfMVKjj0GgHbAB7MrOFswJIftZLZneWUwfFTwinI8VPaesD6dK0CtrohYJdAN+y0oR2DmXPacKhBwDaBB5MdsPRHrWR2ZjnlcPyUcApy/JQImAglA914wObzkHocbSpgA9L07+bvZnSvuoDNGJ7/9tup+9l0aOp+vv3t1DuzZmeWUw7HTwmnIMdPqcJDiIsnbqzK9SDzaYgyYRHI9Hyk3kjACFgmSsXxU8IpyPFT2v6TOJZP3OgDdhYznsQxBBEwArY7yymH46eEU5Djp7T9gD087L710TJgj57rFk/oIGBXQASMgO3Ocsrh+CnhFOT4KVV4IfP9rutuHx48/fWz22ey+sX5iKFSbyRgBCwTpeL4KeEU5Pgp1bgW4q8P10/XyuwX5yOGSr2RgBGwTJSK46eEU5Djp1QjYKefvn37rF5PfPPdzH5xPmKo1BsJGAHLRKk4fko4BTl+SlUCVjwyYRHI9Hyk3kjACFgmSsXxU8IpyPFTImAilAxEwAjY7iynHI6fEk5Bjp9SvYCd/PadnxOwMYiAEbDdWU45HD8lnIIcP6UaAXv0Fx+dnj5+ruu6J/OeRc/5iKFSb9y/gC3/XEnAApeSImDX4Pgp4RTk+ClVeRr94kXMx8ttIe9KUpyPGCr1RgJGwDJRKo6fEk5Bjp/S9gP2YJmth4fdrY8e3cl8Ir1MWAQyPR+pNxIwApaJUnH8lHAKcvyUth+w4+X1Dx8sL8LBtRDHIAJGwHZnOeVw/JRwCnL8lLYesP7nga0yxtXoxyACRsB2ZznlcPyUcApy/JS2HrD1j1NZXsaXgI1BBIyA7c5yyuH4KeEU5PgpVQrYw8PFD1UhYAkQASNgu7Occjh+SjgFOX5KlR5CvN9fh57vgY1BBIyA7c5yyuH4KeEU5Pgp1XgSx1OLpx8uysWzEBMgAkbAdmc55XD8lHAKcvyUqjyNfjF3T09e6/h5YGMQASNgu7Occjh+SjgFOX5KVV7IfDbLn8rcHdzN6hfnI4ZKvXH/AjbtFAxY6tDU/RCwGMdPCacgx0+pyqWkXn/xjbObx3+c/fNUZMIikOn5SL2RgBGwTJSK46eEU5Djp1QjYOUjExaBTM9H6o0EjIBlolQcPyWcghw/JQImQslABIyA7c5yyuH4KeEU5PgpbTFgJ6+/8OJHi18vz4s8jX4AImAEbHeWUw7HTwmnIMdPaYsBe3xncRXfs18vDy9kHoIIGAHbneWUw/FTwinI8VMiYCKUDETACNjuLKccjp8STkGOn9Jufg+MyZ6u+/bl2ZCSa5Gmfzd/N6N7nT90ELBcw3nFTX925n7mP2oMw+zEdDeHlhVXBDL9B0XqjXwFxldgmSgVx08JpyDHT2n710L8v7OetkHAMlCpNxIwApaJUnH8lHAKcvyUth6wxfU3XvqQgE2CCBiXktqd5ZTD8VPCKcjxU6oRsLM5yL4IBwGLo1JvJGAELBOl4vgpkohazgAAIABJREFU4RTk+ClVeBLHB68dLreEb/6CgCVABIyA7c5yyuH4KeEU5Pgp1XkW4qdvf325K3zjDQI2BBEwArY7yymH46eEU5Djp1TtafQnf/8crwNLgQgYAdud5ZTD8VPCKcjxU6r4OrCT9+8QsDGIgBGw3VlOORw/JZyCHD+lWgH74C/7BxH/HddCHIAIGAHbneWUw/FTwinI8VOqEbBP314+etg98RI/D2wMImAEbHeWUw7HTwmnIMdPafsvZP6PXf88+sznbxCwOCr1RgJGwDJRKo6fEk5Bjp9SldeBHfxV4SuZZcIikOn5SL2RgBGwTJSK46eEU5Djp1Tphcz5jx4SsDgq9UYCRsAyUSqOnxJOQY6fUoXvga2/BfaNv86+KqJMWAQyPR+pNxIwApaJUnH8lHAKcvyUKj0L8YO/POy/E/ZzAjYAETACtjvLKYfjp4RTkOOnVO91YCfvv8YLmRMgAkbAdmc55XD8lHAKcvyUKr6Q+beLayISsCGIgBGw3VlOORw/JZyCHD+lSgF7tLoY4sFLvJB5ACJgBGx3llMOx08JpyDHT6lCwE7e/8FyS+ie/KvcZ3HIhEUg0/OReiMBI2CZKBXHTwmnIMdPqdLT6LuOFzJPgAgYAdud5ZTD8VPCKcjxU6rzQuYfFr0KjIAFUak3EjAClolScfyUcApy/JS2H7AfvFR4GQ4CFkWl3kjACFgmSsXxU8IpyPFT2v73wI6/WfjlFwGLolJvJGAELBOl4vgp4RTk+CnVeAjxLgGbAREwArY7yymH46eEU5Djp1QhYHkv/SJg10el3kjACFgmSsXxU8IpyPFT2nrATu4dvEnAZkAEjIDtznLK4fgp4RTk+Clt/3tg97tbxd8EkwmLQKbnI/VGAkbAMlEqjp8STkGOn9L2A/bp33XdE0+/sJoXuRLHAETACNjuLKccjp8STkGOn1K1FzKvhmshDkEEjIDtznLK4fgp4RTk+CkRMBFKBiJgBGx3llMOx08JpyDHT6nCtRAFIxMWgUzPR+qNBIyAZaJUHD8lnIIcPyUCJkLJQASMgO3Ocsrh+CnhFOT4KREwEUoGImDigE07BQOWOjR1PwQsxvFTwinI8VPaYsBOXl885/Ds18vDsxCHIAJGwHZnOeVw/JRwCnL8lLYYsMd3Fk/Z4EkcG0AEjIDtznLK4fgp4RTk+CkRMBFKBiJgBGx3llMOx08JpyDHT4nvgYlQMhABI2C7s5xyOH5KOAU5fkoETISSgQgYAdud5ZTD8VPCKcjxUyJgIpQMRMAI2O4spxyOnxJOQY6fUp2AnfxuNe//e74HNgARMAK2O8sph+OnhFOQ46dUIWCPXuNJHDMgAkbAdmc55XD8lHAKcvyUth+wq09DvEXABiACRsB2ZznlcPyUcApy/JS2H7D7XXfw9POHi/+6g5dz8kXAgqjUG/cvYFxKSoRScfyUcApy/JS2HrCTe92tjxa/3l3+bMusC3FwPmKo1BsJGAHLRKk4fko4BTl+SlsP2OM7B2+eLtr1zNmvx4uMEbArIAJGwHZnOeVw/JRwCnL8lCoEbPm8jQfdU+e/ErDLIAJGwHZnOeVw/JRwCnL8lOoFbPHo4eM7eY8hyoRFINPzkXojASNgmSgVx08JpyDHT6nC98CWDyE+PFx0bFUzAnYJRMAI2O4spxyOnxJOQY6f0vafhXi8/O5X/62wPmME7DKIgBGw3VlOORw/JZyCHD+l7Qfs4WH3zXcXT0N8ZhEzHkIcgggYAdud5ZTD8VPCKcjxU6pwJY7j5fU3HnTdwWG3/GqMgF0GETACtjvLKYfjp4RTkOOnVONaiL9ePHB4cry8EAevAxuCCBgB253llMPxU8IpyPFTqhGw09P/fNatk9/cvv1SXr84HzFU6o37F7Bpp2DAUoem7oeAxTh+SjgFOX5KdQJWOjJhEcj0fKTeSMAIWCZKxfFTwinI8VPafsA+JGCzIAJGwHZnOeVw/JRwCnL8lLYbsJOfHXZd98TLmY8cErDroVJvJGAELBOl4vgp4RTk+CltNWAPD1c/ROXJrFd/EbBrolJvJGAELBOl4vgp4RTk+CltM2DLnwT2xH/79fxnHxKwa6FSbyRgBCwTpeL4KeEU5PgpbTNgi58EtriM1PtnX4jlXYWegF0LlXojASNgmSgVx08JpyDHT2mLATu5t+7WWcnyrkJPwK6FSr2RgBGwTJSK46eEU5Djp7TdgC2/AFt+L6zsMUSZsAhkej5SbyRgBCwTpeL4KeEU5PgpbTFgj+90q0v3XvwfARuBCBgB253llMPxU8IpyPFTImAilAxEwLiU1O4spxyOnxJOQY6fEgEToWQgAkbAdmc55XD8lHAKcvyUCJgIJQMRMAK2O8sph+OnhFOQ46dEwEQoGYiAEbDdWU45HD8lnIIcPyUCJkLJQASMgO3Ocsrh+CnhFOT4KREwEUoGImAEbHeWUw7HTwmnIMdPabsBG09eyGTCIpDp+Ui9kYARsEyUiuOnhFOQ46dEwEQoGYiAEbDdWU45HD8lnIIcP6VtXonj9RfG82LWFTlkwiKQ6flIvZGAEbBMlIrjp4RTkOOntMWACUcmLAKZno/UGwkYActEqTh+SjgFOX5KBEyEkoEIGAHbneWUw/FTwinI8VMiYCKUDETACNjuLKccjp8STkGOnxIBE6FkIAJGwHZnOeVw/JRwCnL8lAiYCCUDETACtjvLKYfjp4RTkOOnRMBEKBmIgBGw3VlOORw/JZyCHD8lAiZCyUAEjIDtznLK4fgp4RTk+CkRMBFKBiJgBGx3llMOx08JpyDHT4mAiVAyEAEjYLuznHI4fko4BTl+Stu8Ese9gzfPbj79kIDNgQgYAdud5ZTD8VPCKcjxU9rqtRAXFz7sfyVgkyACRsB2ZznlcPyUcApy/JS2GrDFV2AEbAOIgBGw3VlOORw/JZyCHD+lrT6E2N36+e8+uPOVX/zuYvIeT5QJi0Cm5yP1RgJGwDJRKo6fEk5Bjp/SNp/EcZ8fpzI3Vz8ws+8czqzT/KHDubqL39hcJ2CDGQRsdgYBS7z3UsBS75wKWOoP33jABncaAlVd4klhr8+6FQinEMdPaZsBO/nZeIchYOsZfmRm3zn7h686bTp0MATsyjudAja61wio5hJPC1t91q1BOIU4fkrbfRr9ye/e+YfDg79+52J+zs8DW0360bvkO8cPwc04bXoIbvDb2buJk65zN5sCdi3S1UMHARscOghY6p1TAUvd680HbCARAdUNWErY6rNuDcIpxPFT2vrrwHgSx8QQMAI2OHWjFULASpWmQDiFOH5KWw/Yyet5P4SZgBEwAkbACpWmQDiFOH5KXIlDhComEDACNjh1oxVCwEqVpkA4hTh+SlUC9unbt7vu4PZL2dfkkAmLQASMgBGw0RCwIpCfk6FSjYBdPJ3+GQJ2PgSMgA1O3WiFELBSpSkQTiGOn1KFgC369cTTLzz/9fyCyYRFIAJmHLBpUjBgKRIBCwwBKwL5ORkqbT9gDw+7W+8u/+/RvW55eV8CthgCRsAGp260QghYqdIUCKcQx09p+wE77m6tn4Z4cq97ioCthoARsMGpG60QAlaqNAXCKcTxU9r+0+jvXfqq6+HhLV7IvBoCRsAGp260QghYqdIUCKcQx0+p7guZc1/VLBMWgQgYASNgoyFgRSA/J0MlAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD+lCg8hdnfPf/Og4yHE9RAwAjY4daMVQsBKlaZAOIU4fko8iUOEKiYQMAI2OHWjFULASpWmQDiFOH5KVZ5G/+Qvlv/3wXM8jf5iCBgBG5y60QohYKVKUyCcQhw/pUovZO5u375dcCkOmbAIRMAIGAEbDQErAvk5GSrVuJTUbw5XV5I6eDmvX02eDwJ2QwFb/rmSgHEpqWmn2SFgRSA/J0OlKhfzPXn/+bOvwJ5+I/vnqsiERSACRsAI2GgIWBHIz8lQiR+nIkIVEwgYARucutEKIWClSlMgnEIcPyUCJkIVEwgYARucutEKIWClSlMgnEIcPyUCJkIVEwgYARucutEKIWClSlMgnEIcPyUCJkIVEwgYARucutEKIWClSlMgnEIcPyUCJkIVEwgYARucutEKIWClSlMgnEIcPyUCJkIVEwgYARucutEKIWClSlMgnEIcPyUCJkIVEwgYARucutEKIWClSlMgnEIcPyUCJkIVEwgYARucutEKIWClSlMgnEIcPyUCJkIVEwjYDQVsmhQMWIpEwAJDwIpAfk6GSgRMhComEDACNjh1oxVCwEqVpkA4hTh+SgRMhComEDACNjh1oxVCwEqVpkA4hTh+SlUDdvLbd37OD7RcDQEjYINTN1ohBKxUaQqEU4jjp1Q1YI/vdF/5RwLWDwEjYINTN1ohBKxUaQqEU4jjp0TARKhiAgEjYINTN1ohBKxUaQqEU4jjp8RDiCJUMYGAEbDBqRutEAJWqjQFwinE8VPiSRwiVDGBgBGwwakbrRACVqo0BcIpxPFTImAiVDGBgBGwwakbrRACVqo0BcIpxPFTImAiVDGBgBGwwakbrRACVqo0BcIpxPFTqhKwT9++3XUHt1/6kIBdDAG7oYAt/1xJwLiU1LTT7BCwIpCfk6FSjYDd79bzDAE7HwJGwAanbrRCCFip0hQIpxDHT6lCwBb9euLpF57/en7BZMIiEAEjYARsNASsCOTnZKi0/YA9POxuvbv8v0f3uoM3CdhqCBgBG5y60QohYKVKUyCcQhw/pe0H7Li7tX7t18m97ikCthoCRsAGp260QghYqdIUCKcQx09p6wE7uXfpq66Hh7d4IfNqCBgBG5y60QohYKVKUyCcQhw/pa0H7PGdS1ePuvIbAkbACNjlUzdaIQSsVGkKhFOI46dEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dU4SHE7u75bx50PIS4HgJGwAanbrRCCFip0hQIpxDHT4kncYhQxQQCRsAGp260QghYqdIUCKcQx0+pytPon/zF8v8+eI6n0V8MASNgg1M3WiEErFRpCoRTiOOnVOmFzN3t27cLLsUhExaBCBgBI2CjIWBFID8nQ6Ual5L6zeHqSlIHL+f1q8nzQcAI2ODUjVYIAStVmgLhFOL4KVW5mO/J+8+ffQX29BsbnsDxxatHy/nOvxAwAkbACFi50hQIpxDHT8n5x6l89goBS76TgBEwApalNAXCKcTxU3IO2CdH3594j0xYBCJgBIyAjYaAFYH8nAyVnAP23tGfErDUOwkYASNgWUpTIJxCHD+lLQbs5PUXxvPi9PfBvnzr2b8lYKl3EjACRsCylKZAOIU4fkpbDNjjO914Zi4l9cWr3/vnnxwd/cmvCBgBI2AETKE0BcIpxPFTMg7Y+jkcR3++fstXVzN5yC7PcBefeec4JWHuTgTs25fnmqSrhy5+Xf65JGnmfi6/c7lQB3929l5vbIV8eyv3I5udE2aYi+k2vP/9w/lXMn9ydPTjP5z+20+Pzh9JJGAEjIDtTg92TphhLqabfe/Ja2e7wpPvzvyJj1dPQkw8l0P2JaMIxEOIPITIQ4ij4SHEIpCfk6FSrWchLq7GcfBS6FL0nxx97w8EjIARMAJWrDQFwinE8VOqE7DNX35dms9eGb2SWSYsAhEwAkbARkPAikB+ToZKVQK2/PLrP8TytQgYX4ERMAJGwARKUyCcQhw/pQoBexT78uvLt1ZPP0xckEMmLAIRMAJGwEZDwIpAfk6GStsPWPjLr/f6cJ2HjIARMAJGwIqUpkA4hTh+StsO2KN7Z5vBrdB3vz57ZfE0+s9/Mn4OR5Png4ARsMGpG60QAlaqNAXCKcTxU9pywJZffkV/CtjHq4vRjy/FIRMWgQgYASNgoyFgRSA/J0OlrQbsGl9+LefzPzs6evbHo6+/CBgBI2AEzHQXlIH8nAyVthmwX1/ny6/ZkQmLQATMOGDTpGDAUiQCFhgCVgTyczJUMr4WIgGbeicBI2AELEtpCoRTiOOnRMBEqGICASNgg1M3WiEErFRpCoRTiOOnZPzzwAjY1DsJGAEjYFlKUyCcQhw/JeefyEzAJt5JwAgYActSmgLhFOL4KREwEaqYQMAI2ODUjVYIAStVmgLhFOL4KREwEaqYQMAI2ODUjVYIAStVmgLhFOL4KREwEaqYQMAI2ODUjVYIAStVmgLhFOL4KREwEaqYQMAI2ODUjVYIAStVmgLhFOL4KREwEaqYQMAI2ODUjVYIAStVmgLhFOL4KREwEaqYQMBuKGDLP1cSMC4lNe00OwSsCOTnZKhEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dEwESoYgIBI2CDUzdaIQSsVGkKhFOI46dEwESoYgIBu6GATZOCAUuRCFhgCFgRyM/JUImAiVDFBAJGwAanbrRCCFip0hQIpxDHT4mAiVDFBAJGwAanbrRCCFip0hQIpxDHT4mAiVDFBAJGwAanbrRCCFip0hQIpxDHT4mAiVDFBAJGwAanbrRCCFip0hQIpxDHT4mAiVDFBAJGwAanbrRCCFip0hQIpxDHT4mAiVDFBAJGwAanbrRCCFip0hQIpxDHT4mAiVDFBAJGwAanbrRCCFip0hQIpxDHT4mAiVDFBAJGwAanbrRCCFip0hQIpxDHT4mAiVDFBAJGwAanbrRCCFip0hQIpxDHT4mAiVDFBAJ2QwFb/rmSgHEpqWmn2SFgRSA/J0MlAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCFRMIGAEbnLrRCiFgpUpTIJxCHD8lAiZCrW67KzN/TDeYq3vi/PzyGn/4WgG7zhQEbPavXhKwCcuk8MxfZ1PABnM1YFdnw1kvmGssrvyVvUF4/khZwNL3arkLykB+ToZKBEyE6m8KthgC1mjAhl9L6+Y6iyt7ZRdJqAI2ca+Wu6AM5OdkqETARKj+ZvZxwMFseBxtPjvx914zYNepkO5QXcBk/vMB+1riD58HbKAUP+u/vPqw5ibh6yyu7JV9/ldfO6WitOFQQcCS92q5C8pAfk6GSgRMhOpvCFjeoalNnIARsHmS5y4oA/k5GSoRMBGqvyFgeYemNnECRsDmSZ67oAzk52SoRMBEqP6GgOUdmtrECRgBmyd57oIykJ+ToRIBE6H6GwKWd2hqEydgBGye5LkLykB+ToZKBEyE6m8IWN6hqU2cgBGweZLnLigD+TkZKhEwEaq/IWB5h6Y2cQJGwOZJnrugDOTnZKhEwESo/oaA5R2a2sQJGAGbJ3nugjKQn5OhEgETofobApZ3aGoTJ2AEbJ7kuQvKQH5OhkoETITqbwhY3qGpTZyAEbB5kucuKAP5ORkqETARqr8hYHmHpjZxAkbA5kmeu6AM5OdkqETARKj+hoDlHZraxAkYAZsnee6CMpCfk6ESAROh+hsClndoahO3CVhq2/5a4g8TsKlDCVgOyM/JUImAiVD9DQHLOzS1iRMwAjZP8twFZSA/J0MlAiZC9TcELO/Q1CZOwAjYPMlzF5SB/JwMlQiYCNXfELC8Q1ObOAEjYPMkz11QBvJzMlQiYCJUf0PA8g5NbeIEjIDNkzx3QRnIz8lQiYCJUP0NAcs7NLWJEzACNk/y3AVlID8nQyUCJkL1NwQs79DUJk7ACNg8yXMXlIH8nAyVCJgI1d8QsLxDU5s4ASNg8yTPXVAG8nMyVCJgIlR/Q8DyDk1t4gSMgM2TPHdBGcjPyVCJgIlQ/Q0Byzs0tYkTMAI2T/LcBWUgPydDJQImQvU3BCzv0NQmbhMwLiVFwK6BkoH8nAyVCJgI1d8QsLxDU5s4ASNg8yTPXVAG8nMyVCJgIlR/Q8DyDk1t4gSMgM2TPHdBGcjPyVCJgIlQ/Q0Byzs0tYkTMAI2T/LcBWUgPydDJQImQvU3BCzv0NQmTsAI2DzJcxeUgfycDJUImAjV3xCwvENTmzgBI2DzJM9dUAbyczJUImAiVH9DwPIOTW3iBIyAzZM8d0EZyM/JUImAiVD9DQHLOzS1iRMwAjZP8twFZSA/J0MlAiZC9TcELO/Q1CZOwAjYPMlzF5SB/JwMlQiYCNXfELC8Q1ObOAEjYPMkz11QBvJzMlQiYCJUf0PA8g5NbeI2AUtt219L/GECNnUoAcsB+TkZKhEwEaq/IWB5h6Y2cQJGwOZJnrugDOTnZKhEwESo/oaA5R2a2sQJGAGbJ3nugjKQn5OhEgETofobApZ3aGoTJ2AEbJ7kuQvKQH5OhkoETITqbwhY3qGpTZyAEbB5kucuKAP5ORkqETARqr8hYHmHpjZxAkbA5kmeu6AM5OdkqETARKj+hoDlHZraxAkYAZsnee6CMpCfk6ESAROh+hsClndoahMnYARsnuS5C8pAfk6GSgRMhOpvCFjeoalNnIARsHmS5y4oA/k5GSoRMBGqvyFgeYemNnECRsDmSZ67oAzk52SoRMBEqP6GgOUdmtrEbQLGpaQI2DVQMpCfk6ESAROh+hsClndoahMnYARsnuS5C8pAfk6GSgRMhOpvCFjeoalNnIARsHmS5y4oA/k5GSoRMBGqvyFgeYemNnECRsDmSZ67oAzk52SoRMBEqP6GgOUdmtrECRgBmyd57oIykJ+ToRIBE6H6GwKWd2hqEydgBGye5LkLykB+ToZKBEyE6m8IWN6hqU2cgBGweZLnLigD+TkZKhEwEaq/IWB5h6Y2cQJGwOZJnrugDOTnZKhEwESo/oaA5R2a2sQJGAGbJ3nugjKQn5OhEgETofobApZ3aGoTJ2AEbJ7kuQvKQH5OhkoETITqbwhY3qGpTZyAEbB5kucuKAP5ORkqETARqr8hYHmHpjZxAkbA5kmeu6AM5OdkqETARKj+hoDlHZraxAkYAZsnee6CMpCfk6ESAROh+hsClndoahMnYARsnuS5C8pAfk6GSgRMhOpvCFjeoalNnIARsHmS5y4oA/k5GSoRMBGqvyFgeYemNnECRsDmSZ67oAzk52SoRMBEqP6GgOUdmtrECRgBmyd57oIykJ+ToRIBE6H6GwKWd2hqEydgBGye5LkLykB+ToZKBEyE6m8IWN6hqU2cgBGweZLnLigD+TkZKhEwEaq/IWB5h6Y2cQJGwOZJnrugDOTnZKhEwESo/oaA5R2a2sQJGAGbJ3nugjKQn5OhEgETofobApZ3aGoTJ2AEbJ7kuQvKQH5OhkoETITqbwhY3qGpTZyAEbB5kucuKAP5ORkqETARqr8hYHmHpjZxAkbA5kmeu6AM5OdkqETARKj+hoDlHZraxAkYAZsnee6CMpCfk6ESAROh+hsClndoahMnYARsnuS5C8pAfk6GSgRMhOpvCFjeoalNnIARsHmS5y4oA/k5GSoRMBGqvyFgeYemNnECRsDmSZ67oAzk52SoRMBEqP6GgOUdmtrECRgBmyd57oIykJ+ToRIBE6H6GwKWd2hqEydgBGye5LkLykB+ToZKBEyE6m8IWN6hqU3cJmCpbftriT9MwKYOJWA5ID8nQyUCJkL1NwQs79DUJk7ACNg8yXMXlIH8nAyVCJgI1d8QsLxDU5s4ASNg8yTPXVAG8nMyVCJgIlR/Q8DyDk1t4gSMgM2TPHdBGcjPyVCJgIlQ/Q0Byzs0tYkTMAI2T/LcBWUgPydDJQImQvU3BCzv0NQmTsAI2DzJcxeUgfycDJUImAjV3xCwvENTmzgBI2DzJM9dUAbyczJUImAiVH9DwPIOTW3iBIyAzZM8d0EZyM/JUImAiVD9DQHLOzS1iRMwAjZP8twFZSA/J0MlAiZC9TcELO/Q1CZOwAjYPMlzF5SB/JwMlQiYCNXfELC8Q1ObuE3AuJQUAbsGSgbyczJUImAiVH9DwPIOTW3iBIyAzZM8d0EZyM/JUGk3A2Y7w604/mcJ2IXhty9PrYBdNug2OV1950ApftZ/OSTNC19ncRUs6cFfffDb6xyqk8gmMUxwuptDy4orAvEVGF+B8RXY9KF8BZYD8nMyVNrNr8BkwiIQASNgBGz6UAKWA/JzMlQiYCJUf0PA8g5NbeIEjIDNkzx3QRnIz8lQiYCJUP0NAcs7NLWJEzACNk/y3AVlID8nQyUCJkL1NwQs79DUJk7ACNg8yXMXlIH8nAyVCJgI1d8QsLxDU5s4ASNg8yTPXVAG8nMyVCJgIlR/Q8DyDk1t4gSMgM2TPHdBGcjPyVCJgIlQ/Q0Byzs0tYnbBCy1bX8t8YcJ2NShBCwH5OdkqETARKj+hoDlHZraxAkYAZsnee6CMpCfk6ESAROh+hsClndoahMnYARsnuS5C8pAfk6GSgRMhOpvCFjeoalNnIARsHmS5y4oA/mWRIKaAAAcZ0lEQVQ5GSoRMBGqvyFgeYemNnECRsDmSZ67oAzk52SoRMBEqP6GgOUdmtrECRgBmyd57oIykJ+ToRIBE6H6GwKWd2hqEydgBGye5LkLykB+ToZKBEyE6m8IWN6hqU2cgBGweZLnLigD+TkZKhEwEaq/IWB5h6Y2cQJGwOZJnrugDOTnZKhEwESo/oaA5R2a2sQJGAGbJ3nugjKQn5OhEgETofobApZ3aGoTtwkYl5IiYNdAyUB+ToZKBEyE6m8IWN6hqU2cgBGweZLnLigD+TkZKhEwEaq/IWB5h6Y2cQJGwOZJnrugDOTnZKhEwESo/oaA5R2a2sQJGAGbJ3nugjKQn5OhEgETofobApZ3aGoTJ2AEbJ7kuQvKQH5OhkoETITqbwhY3qGpTZyAEbB5kucuKAP5ORkqETARqr8hYHmHpjZxAkbA5kmeu6AM5OdkqETARKj+hoDlHZraxAkYAZsnee6CMpCfk6ESAROh+hsClndoahMnYARsnuS5C8pAfk6GSgRMhOpvCFjeoalNnIARsHmS5y4oA/k5GSoRMBGqv5kPWDc/Vw8dTHzb/tqGu7nOLh7/s8qAXUt45g8X+Q9GF7DrzLzw7Or65ezHdG6G2GsEbMNH7Rp3u+Ez58pn3bUmDTqdeef1xnJn7m+yP/w3pyQAETAJqr+ZDdiGT2ACRsCu91efBecHbMiNB2zTR+0ad3t1Jv5s1tdyKdJqJ7iO0tRY7szLX/M//DempAARMAmqv9kQsPnszL5z5s/O/+HtVajg0Ov81W9MYup3qa14cOh1AqbzH4CvGsbX2ujR6zQ3FLDBO+c/anMfp6sz8VeXPRh5HrC40tRY7szLXycerk6dyG0pKUAETILqbwhY3qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWodYB+9p5oggYAds0ljvz8lcCthFFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qHWAeNSUgQsPpY78/JXArYRRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNah1gH72nmiCBgB2zSWO/PyVwK2EUXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWodYB41JSBCw+ljvz8lcCthFFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWodYB+9p5oggYAds0ljvz8lcCthFFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qHWAeNSUgQsPpY78/JXArYRRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNah1gH72nmiCBgB2zSWO/PyVwK2EUXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBpFwAhY1qEELMd/ACZggSFgBGwaRcAIWNahBCzHfwAmYIEhYARsGkXACFjWoQQsx38AJmCBIWAEbBolDtiXP33l6OhHvyJgBGwbErPvJGAELDSWO/PyVwK2EaUN2BevHi3mO/9CwAjYFiRm30nACFhoLHfm5a8EbCNKG7D3jr73q9PP3zr63h8IGAG7eYmp33EpKQIWH8udefkrAduIkgbss1eWX3t98eqzf0vACNjNS0z9joARsPhY7szLXwnYRpQ0YB8ffX91+6cEjIDdvMTU7wgYAYuP5c68/JWAbURJA/be0Z8vbz9ZhYyATX/uF+yCFocSsBz/AZiABYaAEbBplDJgX761eujws1fW3wT76mrKwInpGIZhmB0aeQaGVSg7nIAxDMMwEyPvwKAKZYdfCtjoifSyLxlFINOviGUgP6drKC0fL5lDbQIsP1m0ThtRMpCfk6ESTkGOn9JOPYRIwK6HkoH8nAhYEOTnZKiEU5Djp0TARCgZCKcQh4DFQH5Ohko4BTl+Sr4B28lnIQpAOIU4BCwG8nMyVMIpyPFTMg7Y+vVfu/Q6MAEIpxCHgMVAfk6GSjgFOX5KxgHbxStxCEA4hTgELAbyczJUwinI8VMyDtiXbx19d9euhSgA4RTiELAYyM/JUAmnIMdPyThgp5/v3tXoBSCcQhwCFgP5ORkq4RTk+Ck5B+z085+e9etHo6+/CFgQJQP5ORGwIMjPyVAJpyDHT8k6YJMjExaBTM+HDOTnRMCCID8nQyWcghw/JQImQslAOIU4BCwG8nMyVMIpyPFTImAilAyEU4hDwGIgPydDJZyCHD8lAiZCyUA4hTgELAbyczJUwinI8VMiYCKUDIRTiEPAYiA/J0MlnIIcPyUCJkLJQDiFOAQsBvJzMlTCKcjxUyJgIpQMhFOIQ8BiID8nQyWcghw/JQImQslAOIU4BCwG8nMyVMIpyPFTImAilAyEU4hDwGIgPydDJZyCHD8lAiZCyUA4hTgELAbyczJUwinI8VMiYCKUDIRTiEPAYiA/J0MlnIIcPyUCJkLJQDiFOAQsBvJzMlTCKcjxUyJgIpQMhFOIQ8BiID8nQyWcghw/JQImQslAOIU4BCwG8nMyVMIpyPFTImAilAyEU4hDwGIgPydDJZyCHD8lAiZCyUA4hTh+SjgFOX5KOAU5fkoETISSgXAKcfyUcApy/JRwCnL8lAiYCCUD4RTi+CnhFOT4KeEU5PgpETARSgbCKcTxU8IpyPFTwinI8VMiYCKUDIRTiOOnhFOQ46eEU5Djp0TARCgZCKcQx08JpyDHTwmnIMdPiYCJUDIQTiGOnxJOQY6fEk5Bjp8SAROhZCCcQhw/JZyCHD8lnIIcPyUCJkLJQDiFOH5KOAU5fko4BTl+SgRMhJKBcApx/JRwCnL8lHAKcvyUCJgIJQPhFOLEQVxKSoRScfyUcApy/JQImAglA+EU4hCwGMjPyVAJpyDHT4mAiVAyEE4hDgGLgfycDJVwCnL8lAiYCCUD4RTiELAYyM/JUAmnIMdPiYCJUDIQTiEOAYuB/JwMlXAKcvyUCJgIJQPhFOIQsBjIz8lQCacgx0+JgIlQMhBOIQ4Bi4H8nAyVcApy/JQImAglA+EU4hCwGMjPyVAJpyDHT4mAiVAyEE4hDgGLgfycDJVwCnL8lAiYCCUD4RTiELAYyM/JUAmnIMdPaTcDJpqvfrW2wXhwCo2hEk6xMVTCKTaGSjfo1N0UWDb7dT7yx9DJUAmn2Bgq4RQbQyUCZjY4hcZQCafYGCrhFBtDJQJmNjiFxlAJp9gYKuEUG0MlAmY2OIXGUAmn2Bgq4RQbQyUCZjY4hcZQCafYGCrhFBtDJQJmNjiFxlAJp9gYKuEUG0MlAmY2OIXGUAmn2Bgq4RQbQ6W9DhjDMAzDJKarLcAwDMMwOdPVFmAYhmGYnOlqCzAMwzBMznS1BRiGYRgmZ7raAgzDMAyTM11tAYZhGIbJma62AMMwDMPkTFdbIDlf/vSVo6Mf/WrDm7Y7aYEvXv1+FZt+Ek7/+mdHR89W/DillH5ypvS//aGW0eTa+eyV79WTGjt98erRcr7zLzZKp1/+09mb/vv/o5LQ6djpy7eO1uP0cfr87LOu5u40oVT1s+50vDvewCbeKWGqWX0qX16hiTdVd1rMe0cVA5Zw+qf+k/vZv/VR+rhX+q7bqTvbC+sFLOH02St1N+aE0uerpv64jlHCySBg06fO6bPu97U/6xYz2B1vYhPvhCzZvHf0vV+dfn5lf0m8qbrT2afTe0c1AzZ2+uTo2bN/Lp+9qdZn91jps1eWSj+p94GaWDtnYa0XsITTJzWX0mlK6awW3/3V6Zf/b72defLT/mxV+Tgt/ilUdXdKfdYt3vTlP1Vc4uPd8SY28U6Hks1nryy33y9evVijiTdVd+ofG6u464ydzj6T/vx0+ab+1kDpbNX+6aX3eDj1b64YsJTT6gNVaxJKn6z+HfRxrUU++Wl/ttBrfbAMd6fkZ12/tt+rtBGcJnbHG/kwdTqUbNafLx9fLNLEm6o7Lf4J/+PfVwzY2OmLV1eVqLUZTp+nc7WtT9rpbAv8X+t9Dyzh9OVb1b6mWKkMldb/HKo3k8vp43r/9kg4rb52rvbxmjl19b6sH++ON7KJdzqUbN4bf/ATb6rudPrxd/+m6uM+Mx+UWgGbVqr3jIm003tH36/4JI6E0xevfu+fz/7N+ie1ngkwVqr3b471TC2nao8wnCadan8FNlY6/9dQvTU+3h1vZBPvdCjVJD741c/HpEDFgM18UGp9Kk0r/f6VWltO2umTs3/C1/vkTjmtn8NR6eOUUFr83+//56Ojs52ozkwup2qPaaadzr8HVsfKccPs58rueDNOnYwkG8fzsWMBq/UJPqX03tHRs1a74LLwXgH75Ojox384/befVnrGRDpgP+2bWulx+6nlVO9b4RNOX/ZP/v1xneWUUlo//++9ms/iIGDrhzASb6ru1I9HwAYflE9qPW1sQunL/+t/eeXo2f+9ilLaafkQq0XAzp0+Pt9yquQiofRJvyef7c5ey2n55XMVodMJp89+0j9nvc7Dvymls6/n+1NX8ZVH0wETOnUykmz4Ciw2006vPGv1cN1y/rXWY4gpp/45ABYBGylU2p0TSp+sv/Sq9WLHiQ9T1SeXTDz6WzP0yQ/T6tWXFZ+odMpXYARsbqacPq73sh3DjTn92NjyTZ4Bq/Qgw/SHye6zrt4rMk6nHq+rGvr0h+lfl88I4ntgFWZXnoWY+v02J+1U7QGfxcycp2qfSmOnj8+v5lDrARbDj9NY6TwU1YqR/jDVfcW34VP+ZlZT3Y/Vfj4L8fx1AldeBzZ6U3Wn5dRcICmnL9+revWYsdL54z3VAjZ2qh+wmY9TrRWVUlptzNW+55T+rKv7iu+Zj1OtJT6zO9b9WF1dyzeyiXc6lGwMX+s+KVAzYOnLOdR8yCB9TYDvX7l1cFq/w+lKHO9VfjXs7KmrtAsmT13lV3xPX2ym2hJPKH28vv5N1Y/V1d1xb67E0V+CLXFVtopXG5sSqBmwhFPFKxRMKVX+DvfM2qkYsMmP0+c/qXUG00o/+pXdqav8+uqE0yfVn62ZUFpcgfRfX6l7ebKru+ONbOKdDqWbzy9dtXj1b4jPa1+NPuG0mKqPMY+c1j+Ro94lGhMfpk9WF8iv9syxiVNX9UWeCafVA5vfqXUpjtSpe8Xw1NV9XsLcqatWi4TS6sdS1P1QrXfHG9zEOyFLN58vXkD5o+XHfr1sL73Jxum09jdJh06fXHxzp5ZW6tT9Wd0fUTZx6uruhFMfp0ovhp1SWvwAp2pXt0o71XwV2JTT/3d26mp+nBJKi2uo1PxJbosZBOwmNvFOCWMYhmGYbU1XW4BhGIZhcqarLcAwDMMwOdPVFmAYhmGYnOlqCzAMwzBMznS1BRiGYRgmZ7raAgzDMAyTM11tAYZhGIbJma62AMMwDMPkTFdbgGEYhmFypqstwDAMwzA509UWYBiGYZic6WoLMAzDMEzOdLUFGIZhGCZnutoCDLP1ef+1w67rvvHGR7E/ftzdCv7J9Xzw2tfP7uCJH74bJKzev/GOgibDu2eYRqerLcAwW573F7v7cg5eDh1w3YCd3FvfQfetj0KE6wbsN/9u5s+N755hGp2utgDDbHfud5fmmcgR1wzYpYB0qyPFAZv9c4m7Z5hGp6stwDBbnUW/nnjpw7P/++AHZ1+DvXkj93Dw8uIOPn37sOvuXuPIaCln/1z+3TPMrk1XW4BhtjkPDy89sHb/Jr5EOfsK6Cvrbz6d3dt17kARsIK7Z5hdm662AMNsc4677qnLv9N/Cfb4zqV7OO6+8o/xQxUBK7h7htm16WoLMMwW52x7v5ysh99YPVPv0eJ5iQffXH/p8mj1NMX+d30vzg595uTtry8egPzo8h+7OKqf/9re2fQ2kQRhuLMOawlyWLLkjMKBw6L1T8gBiY04JYCEWHEcwiqyuI0Ih5WVn05/f02PjfswPZGf52J7Zrqr6tKvuqumLLdAy/sMM4O+8/VcDlF7wK8vpAk7Ns9t3Wr7J8aQHLZSoxZvzQM2iXcm91dnLqhgsWTeeuriyRyP5h8JCWCmiNYOAExIL0rLuy/sOHqlf964GohjvX/xAvbneXw5lIOc5pM9yzZIXsB+vzIjfvt8bS2+Dffdx+Y6sS+HvTRjUgGTDhm9k0q22mree3paCjeafywkgHkiWjsAMCFdsfBQXj3+JPc956boQaWO5BZk886qnRcwueJ/u7+7sHN0ZgP14zpb7tWD4o9/1tElL2A6AacEaiGerrWFWLnsR2fSdHfnxr4aJnXu7jJ/zh2AdslBYcG8yvX9q806x+Nwo/nHQgKYJ6K1AwAT0pXq8vxWRhVAfI4EwaaQgoCt7FPqt5S5pZs0zaS5QvaTv5yKBAE7swbt2MRCMLSM/VLDVvE87qP3ArTcat7FZ8PLww3zj4cEMEtEawcAJqQoYGG1NmmlfPX2uvLIvZacyFwh7WRyWOoMMM5xWcG4j4pHrKlEmHp3MwiMs5QKmFW69ASxYL53QZuZ83DD/NtCApghorUDABNSFLBQq2ckoVdlDJ/i+8nGyKzz8RJfqgrc/Pf6SZbjslu32GJfELDcsTAsfy5X0hHz2QN5uH7+XSEBzA3R2gGACekLObBIIOxXU0SxcEdwoQrR/NaCoFNNnnK1uspxRUeEQSB2C9iP249KgayAOV3JntNbq/HNkjOfitEgXD/Br4QEMCdEawcAJiR/tffLm3Vp46FL3NUR3GW4WCFgfse3p4DdPInnHRcwvYManiDm5gcCloaLgMGDRbR2AGBCsvfAdF5ruANT3OojuEh+hgJW3vgkLw/bQXsJmCnCOHn5Zn21Q8D0l37sgNCb32MHRuILHhSitQMAU9IlL4KZqvo8KeRwVe5FAYt0YGAh7Ijsy8Z7CVgXNbHfIWBq+FWqOgXz3pqZqZADW7rbJL7gQSFaOwAwJUkvxBv/9q5d83WKLBGMkEPKBCxqQ5Uu/NKCb0aoOlfte4QYZpMWdwiYfOLZ8/QEsWC+j8rkV4NwE7fKIQHMFNHaAYBJUb0mjlR5xkYnupQmDd8DC3XsozuwKJ3Wp6WNqtmGLmLcqAZN6dngXgLW7cqBqW+Lx1myamjex3c19h6YnX80JIB5Ilo7ADAt13Glguk3EbWmsIJ29LdqhXGxJQdmRl2Gg0ZPUguRldHvcYSovNF3hwKmFHazNuMHvbEK5vvRThzqdzT/WEgA80S0dgBgYr489sv7K3sp64X43T+hF/wRAQuNA7PFPvpLyWOzldtLwP63HRfF03daQIcCpmTLXPPtQbaa39kL0WvgWEgAs0S0dgBgajYfXkTN3jWmCfupa/20eX8iH1jY32MCJkepSsXQ5D1M91qNP/J39iuj1z3v1avUWZFFVGcvvV1+S2baZn6kG70NL3mRbDQkgBkiWjsAAPV0VL7DASNaOwAA1aj/8mrtA0AzRGsHAKCa73kNIsAhIVo7AAC13F2U/t4M4FAQrR0AgDo6OhbCgSNaOwAAdfT+/8YADhPR2gEAAIAaRGsHAAAAahCtHQAAAKhBtHYAAACgBtHaAQAAgBpEawcAAABqEK0dAAAAqEG0dgAAAKAG0doBAACAGkRrBwAAAGoQrR0AAACoQbR2AAAAoAbR2gEAAIAaRGsHAAAAavgJHFkv0epye1cAAAAASUVORK5CYII=" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code># 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_finnish_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_finnish_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_finnish_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:37, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(38:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
basic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
basic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
eu:n
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
euroopan
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
center
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
center
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ihmisten
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
kansalaisten
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
kansan
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
käytännössä
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
current
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
current
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
kehitettävä
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
keskusta
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
keskustan
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
kuntien
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
energy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
energy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
lasten
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
eu
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
eu
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
lisättävä
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
families
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
families
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
maaseudun
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
family
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
family
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mahdollisuus
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
finland
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
finland
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mielestä
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
finnish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
finnish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mielestämme
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
finns
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
finns
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ml
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
future
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
future
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mm
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ns
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
level
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
level
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nuorten
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nykyistä
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
municipal
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
municipal
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
oikeus
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
municipalities
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
municipalities
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
oltava
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
osa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
osalta
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
power
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
power
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
palveluiden
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
production
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
production
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
perussuomalaiset
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
perussuomalaisten
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ph
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
service
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
service
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pidä
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pitää
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
rm
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
saa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
seurauksena
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sosiaali
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
taxation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
taxation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
suomalaisen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
suomalaisten
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
based
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
suomen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
business
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
employment
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
suomessa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
child
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
food
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
suomi
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
conditions
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
forest
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
talouden
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
mixed
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
tärkeää
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
parties
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
growth
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
tarvitaan
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
political
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
income
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
tehdä
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
private
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
tukea
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
reform
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
increased
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
turvattava
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
size
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
opinion
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
työn
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
terms
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
valtion
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
verotuksen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
true
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
yhteiskunnan
</td>
</tr>
</tbody>
</table>
</div>
<div id="french" class="section level3">
<h3>French</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_french_fulltext_translated_190202.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_french_fulltext_translated_dfm &lt;-  tokens(sample_corpus_french_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_french_dfm &lt;-  tokens(sample_corpus_french,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_french_dfm_translated &lt;- dfm_sample(subcorpus_french_dfm_translated, 30, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_french_dfm &lt;- dfm_sample(subcorpus_french_dfm, 3, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_french_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_french_dfm_translated)

# Resave the docvars

sample_corpus_french_dfm_translated_c@docvars &lt;- sample_corpus_french_dfm_translated@docvars

sample_corpus_french_dfm_translated &lt;- sample_corpus_french_dfm_translated_c

# Remove Stopwords
sample_corpus_french_dfm_translated &lt;- dfm_remove(sample_corpus_french_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_french_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_french_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_french_dfm &lt;- dfm_remove(sample_corpus_french_dfm, stopwords(language = &quot;french&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_french_dfm_translated &lt;- dfm_tolower(sample_corpus_french_dfm_translated)

# Stemming 
 
#sample_corpus_french_dfm_translated &lt;- dfm_wordstem(sample_corpus_french_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_french_dfm&quot;, &quot;sample_corpus_french_dfm_translated&quot;, &quot;sample_corpus_french_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))



################################################################################

#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_french_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_french_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_french_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 160, df = 898, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.9805422 0.9849899
## sample estimates:
##       cor 
## 0.9829089</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code># 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_french_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_french_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_french_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:32, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(33:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
access
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
access
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
assurer
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
c’est
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
cadre
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
dp
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
dp
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
citoyens
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
compte
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
employment
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
employment
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
conditions
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
ensure
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
ensure
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
création
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
d’un
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
federal
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
federal
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
d’une
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financial
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financial
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
démocratie
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
french
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
french
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
développement
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
future
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
future
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
développer
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
droit
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
droits
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
level
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
level
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
économique
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
entend
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
entreprises
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
européenne
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
faire
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
faut
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promote
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promote
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
formation
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
france
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
quebec
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
quebec
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
garantir
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
justice
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
l’accès
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
l’emploi
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
matière
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mise
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
moyens
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
niveau
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
parti
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pays
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
avoid
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
bloc
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
politique
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
block
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
canada
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
politiques
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
born
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
community
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
protection
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
business
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
publics
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
common
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
revenus
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
develop
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
santé
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
economy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
family
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sécurité
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
energy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
france
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
service
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
enter
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
services
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
frame
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
income
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
social
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
job
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociale
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
material
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
socialiste
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
plan
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
local
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
société
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
power
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
political
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
soins
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
square
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
québécois
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
statut
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
summer
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
système
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
teaching
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
reform
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
travail
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
youth
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
service
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
vie
</td>
</tr>
</tbody>
</table>
</div>
<div id="galician" class="section level3">
<h3>Galician</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_galician_fulltext_translated_190208.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_galician_fulltext_translated_dfm &lt;-  tokens(sample_corpus_galician_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_galician_dfm &lt;-  tokens(sample_corpus_galician,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_galician_dfm_translated &lt;- dfm_sample(subcorpus_galician_dfm_translated, 2, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_galician_dfm &lt;- dfm_sample(subcorpus_galician_dfm, 2, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_galician_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_galician_dfm_translated)

# Resave the docvars

sample_corpus_galician_dfm_translated_c@docvars &lt;- sample_corpus_galician_dfm_translated@docvars

sample_corpus_galician_dfm_translated &lt;- sample_corpus_galician_dfm_translated_c

# Remove Stopwords
sample_corpus_galician_dfm_translated &lt;- dfm_remove(sample_corpus_galician_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_galician_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_galician_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_galician_dfm &lt;- dfm_remove(sample_corpus_galician_dfm, stopwords(language = &quot;galician&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_galician_dfm_translated &lt;- dfm_tolower(sample_corpus_galician_dfm_translated)

# Stemming 
 
#sample_corpus_galician_dfm_translated &lt;- dfm_wordstem(sample_corpus_galician_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_galician_dfm&quot;, &quot;sample_corpus_galician_dfm_translated&quot;, &quot;sample_corpus_galician_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))



################################################################################

#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_galician_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_galician_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_galician_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = Inf, df = 2, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  1 1
## sample estimates:
## cor 
##   1</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code># 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_galician_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_galician_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_galician_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:31, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(32:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
action
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
action
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ámbito
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
autonomous
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
autonomous
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ás
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
bng
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
bng
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bng
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
capacity
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
capacity
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
cambio
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
change
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
change
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
capacidade
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
como
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
current
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
current
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
competencias
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
dereito
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
dereitos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
desenvolvemento
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financing
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financing
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
entre
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
fishing
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
fishing
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
español
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
funds
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
funds
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
estado
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
galician
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
galician
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
estatal
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
financiamento
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
guarantee
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
guarantee
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
fondos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
galega
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
galegas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
galego
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
management
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
management
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
galiza
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
goberno
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
participation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
participation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ii
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
incremento
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promotion
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promotion
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
institucións
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
lei
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
máis
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
materia
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
medidas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mesmo
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
spanish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
spanish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
país
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
transfer
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
transfer
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
parte
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
á
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
access
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
participación
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
boost
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
administration
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
persoas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
competencies
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
based
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
plano
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
da
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
communities
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
política
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
enter
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
cultural
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
políticas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
existing
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
galicia
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pública
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
flat
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
públicos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
galiza
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
income
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
réxime
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
matter
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
institutions
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
seguranza
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
medium
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
local
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
nose
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
model
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
servizos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
ou
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
plan
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sistema
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
policies
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
situación
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
politics
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
political
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociais
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
polo
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
promote
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
social
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
regime
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
todas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
scope
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
reform
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
todos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
wings
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
xeito
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
workers
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
xestión
</td>
</tr>
</tbody>
</table>
</div>
<div id="german" class="section level3">
<h3>German</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_german_fulltext_translated_190208.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_german_fulltext_translated_dfm &lt;-  tokens(sample_corpus_german_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_german_dfm &lt;-  tokens(sample_corpus_german,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_german_dfm_translated &lt;- dfm_sample(subcorpus_german_dfm_translated, 44, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_german_dfm &lt;- dfm_sample(subcorpus_german_dfm, 44, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_german_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_german_dfm_translated)

# Resave the docvars

sample_corpus_german_dfm_translated_c@docvars &lt;- sample_corpus_german_dfm_translated@docvars

sample_corpus_german_dfm_translated &lt;- sample_corpus_german_dfm_translated_c

# Remove Stopwords
sample_corpus_german_dfm_translated &lt;- dfm_remove(sample_corpus_german_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_german_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_german_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_german_dfm &lt;- dfm_remove(sample_corpus_german_dfm, stopwords(language = &quot;german&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_german_dfm_translated &lt;- dfm_tolower(sample_corpus_german_dfm_translated)

# Stemming 
 
#sample_corpus_german_dfm_translated &lt;- dfm_wordstem(sample_corpus_german_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_german_dfm&quot;, &quot;sample_corpus_german_dfm_translated&quot;, &quot;sample_corpus_german_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))


##############################################################################


#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_german_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_german_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_german_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 135.69, df = 1934, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.9468598 0.9553450
## sample estimates:
##       cor 
## 0.9512822</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code># 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_german_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_german_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_german_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:38, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(39:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
adr
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
adr
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
adr
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
austria
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
austria
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
arbeit
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ausbau
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bereich
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bildung
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
brauchen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
conditions
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
conditions
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bürger
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
deutschland
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
entwicklung
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
erhalten
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
europa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
energy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
energy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
europäischen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
f.d.p
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
fdp
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
fdp
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
fdp
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
federal
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
federal
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
fördern
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financial
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financial
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
fordert
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
future
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
future
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
förderung
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
germany
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
germany
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
forschung
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
frauen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
freiheit
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gesellschaft
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gilt
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
luxembourg
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
luxembourg
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
insbesondere
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
kinder
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
land
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
leben
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
luxemburg
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
protection
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
protection
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
maßnahmen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
öffentlichen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
österreich
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
politik
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
rahmen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
schaffen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
schutz
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
setzen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
setzt
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sicherheit
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
soziale
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
addition
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sozialen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
ensure
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sozialisten
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
cultural
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
europe
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
staat
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
equal
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
family
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
stärken
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
human
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
freedom
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
stehen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
income
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
unternehmen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
insurance
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
legal
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
unterstützen
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
lead
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
verantwortung
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
principle
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
private
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
wirtschaft
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
promotion
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ziel
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
responsibility
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
transport
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
zukunft
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
that&amp;#39;s
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
women
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
zusammenarbeit
</td>
</tr>
</tbody>
</table>
</div>
<div id="italian" class="section level3">
<h3>Italian</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_italian_fulltext_translated_190205.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_italian_fulltext_translated_dfm &lt;-  tokens(sample_corpus_italian_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_italian_dfm &lt;-  tokens(sample_corpus_italian,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_italian_dfm_translated &lt;- dfm_sample(subcorpus_italian_dfm_translated, 20, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_italian_dfm &lt;- dfm_sample(subcorpus_italian_dfm, 20, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_italian_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_italian_dfm_translated)

# Resave the docvars

sample_corpus_italian_dfm_translated_c@docvars &lt;- sample_corpus_italian_dfm_translated@docvars

sample_corpus_italian_dfm_translated &lt;- sample_corpus_italian_dfm_translated_c

# Remove Stopwords
sample_corpus_italian_dfm_translated &lt;- dfm_remove(sample_corpus_italian_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_italian_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_italian_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_italian_dfm &lt;- dfm_remove(sample_corpus_italian_dfm, stopwords(language = &quot;italian&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_italian_dfm_translated &lt;- dfm_tolower(sample_corpus_italian_dfm_translated)

# Stemming 
 
#sample_corpus_italian_dfm_translated &lt;- dfm_wordstem(sample_corpus_italian_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_italian_dfm&quot;, &quot;sample_corpus_italian_dfm_translated&quot;, &quot;sample_corpus_italian_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))


##############################################################################



#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_italian_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_italian_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_italian_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 49.171, df = 398, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.9113903 0.9393398
## sample estimates:
##       cor 
## 0.9266348</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
<p><img 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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code># 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_italian_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_italian_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_italian_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:36, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(37:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
base
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
cittadini
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
controllo
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
crisi
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
cultural
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
cultural
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
cristiana
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
dc
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
democrazia
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
diritti
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
europe
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
europe
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
diritto
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
economica
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financial
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financial
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
economico
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
europea
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
fiscale
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
institutions
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
institutions
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
formazione
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
forze
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
italian
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
italian
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
grandi
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
italy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
italy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
imprese
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
internazionale
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
legge
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
management
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
management
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
libertà
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
locali
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mercato
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
necessario
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nuova
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
protection
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
protection
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nuove
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
occorre
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
reform
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
reform
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
paesi
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
particolare
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
role
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
role
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
piano
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
politica
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
politiche
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
processo
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pubblica
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pubblici
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pubblico
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
regioni
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
a.d
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
christian
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ricerca
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
activity
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
civil
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
riforma
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
community
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
dc
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
risorse
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
democracy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
democratic
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ruolo
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
expense
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
employment
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
scuola
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
i&amp;#39;m
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
family
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
servizi
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
level
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
settore
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
plan
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
local
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sicurezza
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
policies
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
political
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sistema
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
power
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
production
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociale
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
process
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociali
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
search
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
società
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
strutture
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
university
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sviluppo
</td>
</tr>
</tbody>
</table>
</div>
<div id="norwegian" class="section level3">
<h3>Norwegian</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_norwegian_fulltext_translated_190204.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_norwegian_fulltext_translated_dfm &lt;-  tokens(sample_corpus_norwegian_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_norwegian_dfm &lt;-  tokens(sample_corpus_norwegian,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_norwegian_dfm_translated &lt;- dfm_sample(subcorpus_norwegian_dfm_translated, 19, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_norwegian_dfm &lt;- dfm_sample(subcorpus_norwegian_dfm, 19, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_norwegian_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_norwegian_dfm_translated)

# Resave the docvars

sample_corpus_norwegian_dfm_translated_c@docvars &lt;- sample_corpus_norwegian_dfm_translated@docvars

sample_corpus_norwegian_dfm_translated &lt;- sample_corpus_norwegian_dfm_translated_c

# Remove Stopwords
sample_corpus_norwegian_dfm_translated &lt;- dfm_remove(sample_corpus_norwegian_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_norwegian_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_norwegian_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_norwegian_dfm &lt;- dfm_remove(sample_corpus_norwegian_dfm, stopwords(language = &quot;norwegian&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_norwegian_dfm_translated &lt;- dfm_tolower(sample_corpus_norwegian_dfm_translated)

# Stemming 
 
#sample_corpus_norwegian_dfm_translated &lt;- dfm_wordstem(sample_corpus_norwegian_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_norwegian_dfm&quot;, &quot;sample_corpus_norwegian_dfm_translated&quot;, &quot;sample_corpus_norwegian_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))



################################################################################

#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_norwegian_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_norwegian_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_norwegian_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 22.844, df = 359, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.7240084 0.8086767
## sample estimates:
##       cor 
## 0.7697059</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code>#################################################################################

# 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_norwegian_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_norwegian_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_norwegian_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:35, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(36:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
business
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
business
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
a
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ansvar
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
center
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
center
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
arbeide
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
barn
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bedre
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
behov
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
cultural
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
cultural
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bør
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bruk
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
del
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
derfor
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
ensure
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
ensure
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
enkelte
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environmental
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environmental
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
får
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
flere
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increased
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increased
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
fremskrittspartiet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
industry
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
industry
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gi
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
labor
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
labor
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gir
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gis
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gjennom
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gode
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
grad
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
norway
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
norway
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
land
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
norwegian
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
norwegian
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
legge
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
party
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
party
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ma
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mener
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
mulig
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
norge
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
norsk
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
responsibility
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
responsibility
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
norske
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nye
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
offentlig
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
offentlige
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
øke
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
økonomisk
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
økt
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
transport
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
transport
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ønsker
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
advances
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
believes
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
bigger
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
conditions
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
rette
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
community
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
cooperation
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samarbeid
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
energy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samfunnet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
hair
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
individual
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
senterpartiet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
human
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sikre
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
insurance
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
local
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
store
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
municipalities
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
større
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
natural
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
private
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
styrke
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
power
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
progress
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sv
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
production
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ta
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
tiltak
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
strength
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
service
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
utdanning
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
tender
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
utvikling
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
welfare
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
strengthen
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
viktig
</td>
</tr>
</tbody>
</table>
</div>
<div id="portuguese" class="section level3">
<h3>Portuguese</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_portuguese_fulltext_translated_190208.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_portuguese_fulltext_translated_dfm &lt;-  tokens(sample_corpus_portuguese_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_portuguese_dfm &lt;-  tokens(sample_corpus_portuguese,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_portuguese_dfm_translated &lt;- dfm_sample(subcorpus_portuguese_dfm_translated, 13, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_portuguese_dfm &lt;- dfm_sample(subcorpus_portuguese_dfm, 13, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_portuguese_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_portuguese_dfm_translated)

# Resave the docvars

sample_corpus_portuguese_dfm_translated_c@docvars &lt;- sample_corpus_portuguese_dfm_translated@docvars

sample_corpus_portuguese_dfm_translated &lt;- sample_corpus_portuguese_dfm_translated_c

# Remove Stopwords
sample_corpus_portuguese_dfm_translated &lt;- dfm_remove(sample_corpus_portuguese_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_portuguese_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_portuguese_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_portuguese_dfm &lt;- dfm_remove(sample_corpus_portuguese_dfm, stopwords(language = &quot;portuguese&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_portuguese_dfm_translated &lt;- dfm_tolower(sample_corpus_portuguese_dfm_translated)

# Stemming 
 
#sample_corpus_portuguese_dfm_translated &lt;- dfm_wordstem(sample_corpus_portuguese_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_portuguese_dfm&quot;, &quot;sample_corpus_portuguese_dfm_translated&quot;, &quot;sample_corpus_portuguese_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))



################################################################################

#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_portuguese_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_portuguese_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_portuguese_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 119.97, df = 167, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.9922110 0.9957539
## sample estimates:
##       cor 
## 0.9942483</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code>#################################################################################

# 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_portuguese_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_portuguese_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_portuguese_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:32, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(33:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
access
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
access
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
acesso
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
administração
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
animais
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
conditions
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
conditions
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
áreas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
creation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
creation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
cidadãos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
condições
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
criação
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
defesa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
effective
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
effective
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
desenvolvimento
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
ensure
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
ensure
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
direito
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
direitos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financial
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
financial
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
economia
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
económica
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
emprego
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
empresas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
management
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
management
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ensino
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
formação
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
garantir
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gestão
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
portugal
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
portugal
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
governo
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
portuguese
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
portuguese
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
investimento
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
private
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
private
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
lei
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promote
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promote
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
medidas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nacional
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
quality
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
quality
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nomeadamente
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
país
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
países
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
política
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
políticas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
portugal
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
portuguesa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
programa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
bigger
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
continue
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
promoção
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
change
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
promover
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
cheers
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
cultural
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
psd
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
defense
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pública
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
form
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
público
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
formation
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
públicos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
fur
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
investment
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
qualidade
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
job
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
recursos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
level
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
local
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
reforço
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
parents
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
saúde
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
policies
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
political
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sector
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
politics
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
program
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
segurança
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
promotion
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
psd
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
serviços
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
required
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociais
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
safety
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
social
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
secure
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
service
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociedade
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
teaching
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
trabalhadores
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
wake
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
vida
</td>
</tr>
</tbody>
</table>
</div>
<div id="spanish" class="section level3">
<h3>Spanish</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_spanish_fulltext_translated_190209.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_spanish_fulltext_translated_dfm &lt;-  tokens(sample_corpus_spanish_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_spanish_dfm &lt;-  tokens(sample_corpus_spanish,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)
subcorpus_spanish_dfm_translated &lt;- dfm_subset(subcorpus_spanish_dfm_translated, countryname != &quot;Mexico&quot;)   # Omit Mexican manifestos from sampling

sample_corpus_spanish_dfm_translated &lt;- dfm_sample(subcorpus_spanish_dfm_translated, 16, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)
subcorpus_spanish_dfm &lt;- dfm_subset(subcorpus_spanish_dfm, countryname != &quot;Mexico&quot;) # Omit Mexican manifestos from sampling

sample_corpus_spanish_dfm &lt;- dfm_sample(subcorpus_spanish_dfm, 16, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_spanish_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_spanish_dfm_translated)

# Resave the docvars

sample_corpus_spanish_dfm_translated_c@docvars &lt;- sample_corpus_spanish_dfm_translated@docvars

sample_corpus_spanish_dfm_translated &lt;- sample_corpus_spanish_dfm_translated_c

# Remove Stopwords
sample_corpus_spanish_dfm_translated &lt;- dfm_remove(sample_corpus_spanish_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_spanish_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_spanish_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_spanish_dfm &lt;- dfm_remove(sample_corpus_spanish_dfm, stopwords(language = &quot;spanish&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_spanish_dfm_translated &lt;- dfm_tolower(sample_corpus_spanish_dfm_translated)

# Stemming 
 
#sample_corpus_spanish_dfm_translated &lt;- dfm_wordstem(sample_corpus_spanish_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_spanish_dfm&quot;, &quot;sample_corpus_spanish_dfm_translated&quot;, &quot;sample_corpus_spanish_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))


##############################################################################



#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_spanish_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_spanish_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_spanish_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 40.368, df = 254, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.9114740 0.9449752
## sample estimates:
##       cor 
## 0.9301348</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
<p><img 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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code>#################################################################################

# 8. Top50 Features

# Generate Topfeautres
t1 &lt;- topfeatures(sample_corpus_spanish_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_spanish_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_spanish_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:35, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(36:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;)</code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
access
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
access
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
acceso
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
administration
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
administration
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
administración
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
citizens
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
administraciones
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
creation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
creation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
años
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
cultural
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
cultural
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
atención
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
current
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
current
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
calidad
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
centros
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
european
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ciudadanos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
fffd
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
fffd
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
control
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
creación
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
guarantee
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
guarantee
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
derecho
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
derechos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
desarrollo
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
law
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
económica
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
management
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
management
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
educación
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
national
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
empresas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
participation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
participation
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
españa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
europea
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
plan
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
plan
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
fffd
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policies
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
forma
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promote
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
promote
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
formación
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gestión
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
quality
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
quality
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
gobierno
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
reform
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
reform
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ley
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
marco
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
medidas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sector
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
modelo
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nacional
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
services
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
países
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
participación
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
personas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
spain
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
spain
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
plan
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
spanish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
spanish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
política
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
políticas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
proceso
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
<ol style="list-style-type: lower-alpha">
<li></td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
autonomous
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
protección
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
boys
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
communities
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
pública
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
business
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
públicas
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
canary
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
control
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
público
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
developing
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
públicos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
islands
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
recursos
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
job
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
employment
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
reforma
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
labor
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
salud
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
living
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
measures
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sector
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
measurements
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
seguridad
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
medium
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
political
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
servicios
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
politics
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
promotion
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sistema
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
propose
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
protection
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
social
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
shape
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociales
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
straight
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociedad
</td>
</tr>
</tbody>
</table></li>
</ol>
</div>
<div id="swedish" class="section level3">
<h3>Swedish</h3>
<pre class="r"><code># Aim of this script:
# 1. Build DFMs
# 2. Sample DFM
# 3. Post-processing (stopword-removal, tolower)
# 4. Calculate similarity scores
# 5. Heatmaps
# 6. Overlaid Histogram
# 7. Levene-Test 
# 8. Top-50-Features 


library(quanteda)
library(tidyverse)
library(translateR)

#   1. Load fulltext translation sample and build dfm

load(&quot;../data/subcorpus_swedish_fulltext_translated_190128.Rdata&quot;)


#construct Full-Text Translated DFM object 
sample_corpus_swedish_fulltext_translated_dfm &lt;-  tokens(sample_corpus_swedish_translated,
                                    remove_punct = T,
                                    remove_numbers = T,
                                    remove_symbols = T) %&gt;%
                                    tokens_tolower %&gt;%
                                    #tokens_wordstem() %&gt;%
                                    dfm()

#construct original language dfm object 

sample_corpus_swedish_dfm &lt;-  tokens(sample_corpus_swedish,
                                     remove_punct = T,
                                     remove_numbers = T,
                                     remove_symbols = T) %&gt;%
                                      tokens_tolower %&gt;%
                                      dfm()

#   2. Sample Feature Translated DFM
set.seed(1234)

sample_corpus_swedish_dfm_translated &lt;- dfm_sample(subcorpus_swedish_dfm_translated, 24, replace = F, margin =&quot;documents&quot;)


# Sample original-language  dfm object
set.seed(1234)

sample_corpus_swedish_dfm &lt;- dfm_sample(subcorpus_swedish_dfm, 24, replace = F, margin =&quot;documents&quot;)




# 3. Post-Processing 

# Split Compound Words
# Solution: https://stackoverflow.com/questions/44538939/split-up-ngrams-in-sparse-document-feature-matrix

# function to split and duplicate counts in features containing 
# the concatenator character
dfm_splitgrams &lt;- function(x, concatenator = &quot; &quot;) {
  # separate the unigrams
  x_unigrams &lt;-  dfm_remove(x, concatenator, valuetype = &quot;regex&quot;)
  
  # separate the ngrams
  x_ngrams &lt;- dfm_select(x, concatenator, valuetype = &quot;regex&quot;)
  # split into components
  split_ngrams &lt;- stringi::stri_split_regex(featnames(x_ngrams), concatenator)
  # get a repeated index for the ngram feature names
  index_split_ngrams &lt;- rep(featnames(x_ngrams), lengths(split_ngrams))
  # subset the ngram matrix using the (repeated) ngram feature names
  x_split_ngrams &lt;- x_ngrams[, index_split_ngrams]
  # assign the ngram dfm the feature names of the split ngrams
  colnames(x_split_ngrams) &lt;- unlist(split_ngrams, use.names = FALSE)
  
  # return the column concatenation of unigrams and split ngrams
  suppressWarnings(cbind(x_unigrams, x_split_ngrams))
}

sample_corpus_swedish_dfm_translated_c&lt;- dfm_splitgrams(sample_corpus_swedish_dfm_translated)

# Resave the docvars

sample_corpus_swedish_dfm_translated_c@docvars &lt;- sample_corpus_swedish_dfm_translated@docvars

sample_corpus_swedish_dfm_translated &lt;- sample_corpus_swedish_dfm_translated_c

# Remove Stopwords
sample_corpus_swedish_dfm_translated &lt;- dfm_remove(sample_corpus_swedish_dfm_translated, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_swedish_fulltext_translated_dfm &lt;- dfm_remove(sample_corpus_swedish_fulltext_translated_dfm, stopwords(language = &quot;english&quot;, source = &quot;stopwords-iso&quot;))

sample_corpus_swedish_dfm &lt;- dfm_remove(sample_corpus_swedish_dfm, stopwords(language = &quot;swedish&quot;, source = &quot;stopwords-iso&quot;))

  # Tolower

sample_corpus_swedish_dfm_translated &lt;- dfm_tolower(sample_corpus_swedish_dfm_translated)

# Stemming 
 
#sample_corpus_swedish_dfm_translated &lt;- dfm_wordstem(sample_corpus_swedish_dfm_translated)



# Clean env
l &lt;- c(&quot;sample_corpus_swedish_dfm&quot;, &quot;sample_corpus_swedish_dfm_translated&quot;, &quot;sample_corpus_swedish_fulltext_translated_dfm&quot;)
rm(list=setdiff(ls(), l))


##############################################################################



#   4. Calculate  similarity measures

simil_dfm_translated &lt;-           sample_corpus_swedish_dfm_translated %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_fulltext_translated_dfm &lt;-  sample_corpus_swedish_fulltext_translated_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()
simil_dfm &lt;-                      sample_corpus_swedish_dfm %&gt;% textstat_simil(method=&quot;cosine&quot;) %&gt;% as.matrix()

 #Compare

#cor(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm), method=&quot;pearson&quot;) #whole matrix R=0,955
cor.test(as.vector(simil_dfm_translated), as.vector(simil_fulltext_translated_dfm)) #p = 0</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  as.vector(simil_dfm_translated) and as.vector(simil_fulltext_translated_dfm)
## t = 83.127, df = 574, p-value &lt; 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.9540874 0.9666967
## sample estimates:
##      cor 
## 0.960887</code></pre>
<pre class="r"><code>##################################################################################


#5. Heatmaps

# Get lower triangle of the correlation matrix
get_lower_tri&lt;-function(cormat){
  cormat[upper.tri(cormat)] &lt;- NA
  return(cormat)
}
# Get upper triangle of the correlation matrix
get_upper_tri &lt;- function(cormat){
  cormat[lower.tri(cormat)]&lt;- NA
  return(cormat)
}



#Heatmap Feature Translated DFM


# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_dfm_translated, na.rm = TRUE)


#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_dfm_translated)
upper_tri &lt;- get_upper_tri(simil_dfm_translated)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_dfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
  theme(axis.title.x=element_blank(),
        axis.text.x=element_blank(),
        axis.ticks.x=element_blank(),
        axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
  labs(title = &quot;Feature Translated DFM&quot;) +
  #theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
        ggtitle(&quot;Feature Translated DFM&quot;) +
coord_fixed()

#########################################

#Heatmap Full-Text Translated DFM

# Melt the correlation matrix

library(reshape2)
melted_cormat &lt;- melt(simil_fulltext_translated_dfm, na.rm = TRUE)



#Reorderd Matrix
reorder_cormat &lt;- function(cormat){
  # Use correlation between variables as distance
  dd &lt;- as.dist((1-cormat)/2)
  hc &lt;- hclust(dd)
  cormat &lt;-cormat[hc$order, hc$order]
}

# Reorder the correlation matrix

cormat &lt;- reorder_cormat(simil_fulltext_translated_dfm)
upper_tri &lt;- get_upper_tri(simil_fulltext_translated_dfm)
# Melt the correlation matrix
melted_cormat &lt;- melt(upper_tri, na.rm = TRUE)
# Create a ggheatmap
ggheatmap_ftdfm &lt;- ggplot(melted_cormat, aes(Var2, Var1, fill = value))+
  geom_tile(color = &quot;white&quot;)+
  scale_fill_gradient2(low = &quot;blue&quot;, high = &quot;red&quot;, mid = &quot;white&quot;, 
                       midpoint = 0, limit = c(-1,1), space = &quot;Lab&quot;, 
                       name=&quot;Cosine\nSimilarities&quot;) +
  theme_minimal()+ # minimal theme
 theme(axis.title.x=element_blank(),
       axis.text.x=element_blank(),
       axis.ticks.x=element_blank(),
       axis.title.y=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank()) +
        ggtitle(&quot;Full-Text Translated DFM&quot;) +
       #labs(title = &quot;Full-Text Translated DFM&quot;) +
 # theme(axis.text.x = element_text(angle = 45, vjust = 1, 
  #                                 size = 12, hjust = 1))+
      coord_fixed()


library(&quot;gridExtra&quot;)
grid.arrange(ggheatmap_dfm, ggheatmap_ftdfm,
             ncol = 2, nrow = 1)</code></pre>
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width="864" /></p>
<pre class="r"><code>##############################################################################

# 6. Overlaid histogram

data3 &lt;- as.data.frame(NULL)

v_simil_dfm_translated &lt;- as.vector(simil_dfm_translated)
v_simil_fulltext_translated_dfm &lt;- as.vector(simil_fulltext_translated_dfm)

data1 &lt;- data.frame(group = rep(letters[1]), var1 = v_simil_dfm_translated)
data2 &lt;- data.frame(group = rep(letters[2]), var1 = v_simil_fulltext_translated_dfm)
data3 &lt;- rbind(data1, data2)

data3$simil_dfm_translated_mean  &lt;- mean(v_simil_dfm_translated)
data3$v_simil_fulltext_translated_dfm_mean &lt;- mean(v_simil_fulltext_translated_dfm)


hist_overlaid &lt;- ggplot(data=data3) + aes(var1) + 
  geom_histogram(data=subset(data3,group == &#39;a&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;grey&quot;, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$simil_dfm_translated_mean), color=&quot;grey&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Documents&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) +
  scale_x_continuous(breaks = seq(0, 1, 0.1), lim = c(0, 1))+
  geom_histogram(data=subset(data3, group == &#39;b&#39;), binwidth=0.01, colour=&quot;black&quot;, fill=&quot;black&quot;, alpha=0.7, position=&quot;dodge&quot;) + 
  geom_vline(xintercept=mean(data3$v_simil_fulltext_translated_dfm_mean), color=&quot;black&quot;, linetype=&quot;twodash&quot;, size=1) +
  ggtitle(&quot;Feature Translated DFM vs. Full-Text Translated DFM&quot;) +
  labs(x = &quot;Cosine Similarity Score&quot;, y = &quot;No. of Pairwise Comparisons&quot;) +
  theme(plot.title = element_text(hjust = 0.5)) 

print(hist_overlaid)</code></pre>
<p><img 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" width="864" /></p>
<p></br></p>
<p>Note: The order of keywords does <em>not</em> reflect the corresponding term frequencies. Keywords of the feature translated and the full-text translated DFMs are ordered and matched for an easier comparison.</p>
<pre class="r"><code>#################################################################################

# 8. Top50 Features

# Generate Topfeatures
t1 &lt;- topfeatures(sample_corpus_swedish_dfm_translated, 50)
t2 &lt;- topfeatures(sample_corpus_swedish_fulltext_translated_dfm,50)
t3 &lt;- topfeatures(sample_corpus_swedish_dfm,50)

# Get Names of Topfeatures

t1_names &lt;- names(t1)
t2_names &lt;- names(t2)
t3_names &lt;- names(t3)

# Order Topfeatures alphabetically 

t1_names &lt;- t1_names[order(t1_names)]
t2_names &lt;- t2_names[order(t2_names)]
t3_names &lt;- t3_names[order(t3_names)]


#Order t1 after t2 and t2 after t1

t1_names &lt;- t1_names[order(match(t1_names,t2_names))]
t2_names &lt;- t2_names[order(match(t2_names,t1_names))]


# Generate Dataframe
topfeatures_df &lt;- data.frame(t1_names, t2_names, t3_names)

library(knitr)
library(kableExtra)

topfeatures_df %&gt;%
  kable(col.names = c(&quot;Feature Translated DFM&quot;,
                      &quot;Full-Text Translated DFM&quot;,
                       &quot;Original Language DFM&quot;)) %&gt;%
  add_header_above(c(&quot;Top-50-Features&quot; = 3)) %&gt;%
  kable_styling() %&gt;%
  row_spec(1:37, color = &quot;black&quot;, background = &quot;#eaf9e6&quot;) %&gt;%
  row_spec(38:50, color = &quot;black&quot;, background = &quot;#ffcdc7&quot;) %&gt;%
  column_spec(3, color = &quot;black&quot;, background = &quot;white&quot;, extra_css = &quot;border-left:10px solid lightgrey;&quot;) </code></pre>
<table class="table" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="border-bottom:hidden; padding-bottom:0; padding-left:3px;padding-right:3px;text-align: center; " colspan="3">
<div style="border-bottom: 1px solid #ddd; padding-bottom: 5px; ">
Top-50-Features
</div>
</th>
</tr>
<tr>
<th style="text-align:left;">
Feature Translated DFM
</th>
<th style="text-align:left;">
Full-Text Translated DFM
</th>
<th style="text-align:left;">
Original Language DFM
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
business
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
business
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ansvar
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
care
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
år
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
children
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
arbete
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
country
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
åtgärder
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
development
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
både
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
economic
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
barn
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
employment
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
employment
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
behöver
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environment
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environment
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
behövs
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environmental
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
environmental
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
bör
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
freedom
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
freedom
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
centerpartiet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
future
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
future
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ekonomiska
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
government
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
folkpartiet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
health
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
företag
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increase
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
frihet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increased
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
increased
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ge
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
individual
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
individual
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ger
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
labor
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
labor
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ges
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
life
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
hela
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
market
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
insatser
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
people
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
jobb
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
policy
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
kräver
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
power
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
power
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
kvinnor
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
public
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
landet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
reduced
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
reduced
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
människor
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
resources
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
minska
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
responsibility
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
responsibility
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
möjlighet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
school
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
möjligheter
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
security
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ny
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
social
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
nya
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
society
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
offentliga
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
support
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
öka
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sweden
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
sweden
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ökad
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
swedish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
swedish
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ökade
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
tax
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
ökat
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
time
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
politik
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
welfare
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
welfare
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
regering
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
women
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;">
women
</td>
<td style="text-align:left;color: black !important;background-color: #eaf9e6 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
resurser
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
actions
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
center
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samhälle
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
car
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
companies
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
samhället
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
energy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
conditions
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
skapa
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
facilities
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
countries
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
skolan
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
foreign
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
democracy
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sociala
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
human
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
education
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
står
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
improve
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
efforts
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
stöd
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
income
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
housing
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
svenska
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
insurance
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
international
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
sverige
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
job
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
opportunities
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
trygghet
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
required
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
party
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
utbildning
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
requires
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
quot
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
utveckling
</td>
</tr>
<tr>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
training
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;">
rights
</td>
<td style="text-align:left;color: black !important;background-color: #ffcdc7 !important;color: black !important;background-color: white !important;border-left:10px solid lightgrey;">
vård
</td>
</tr>
</tbody>
</table>
<p></br></p>
</div>
</div>
<div id="conclusion" class="section level2">
<h2>Conclusion</h2>
<p>Comparing party manifestos across time and space requires a translation from the original language into a common “analysis” language. We chose English as the target language as it is the <em>lingua franca</em> of computing and Google’s neural network is best trained for translating to and from English. Having such an amount of text as the Manifesto Corpus, applying machine translation is inevitable given the costs for professional human translation. But even then, machine translation requires resources as a fee is charged per translated character. In order to reduce the amount of text, having only the features of a DFM translated seems to be a cost-effective solution. Yet, when translating only single terms one runs the risk of erroneous translations as in the early days of phrase-based models. Although Lucas et al. (2015) and Reber (2018) showed that – in principle – a feature translation is sufficient, Grimmer and Stewart (2013) remind us to validate any automated text method. For this reason, we proposed an intermediary approach by comparing the feature translated DFM to a DFM based on a random sample of full-text translations. Comparing both methods shows that the accuracy varies between languages, though in general we find a large overlap in terms of features. Interestingly, languages with a small number of randomly sampled full-texts have lower mean cosine similarities. This leads us to suspect that we (slightly) underestimate the equivalency of both translation methods in these cases. We attribute the observed difference between “small” languages such as Finnish and world languages such as Spanish or French to the peculiarities of the respective languages and the quality of Google Translate’s neural network. Furthermore, we do not find any systematic difference for one language. Thus, it is fair to assume that machine translation is subject to a small amount of, but randomly distributed, errors.</p>
<p>The most important fact, though, is that the feature translated DFM are able to detect the same pattern of pairwise similarities that we find in the full-text translated DFM. This puts confidence in the feature translated DFMs being sufficiently accurate for estimating the pairwise similarity of party manifestos across time and space. We agree with Reber (2018, 13) and Lucas et al. (2015, 270) that a full-text translation is always more desirable. Especially for pilot studies and smaller projects though, even the “bronze standard” of machine translated features provides a very cost-effective approach for answering substantial research question involving multilingual corpora.</p>
<p></br></p>
<hr />
</div>
</div>
<div id="references" class="section level1">
<h1>References</h1>
<hr />
<ul>
<li>Bär, Daniel, Torsten Zesch, and Iryna Gurevych. 2015. “Composing Measures for Computing Text Similarity.” Technical Report TU Darmstadt TUD-CS-2015-0017</li>
<li>Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo. 2018. “quanteda: An R package for the quantitative analysis of textual data.” <em>Journal of Open Source Software</em> 3(30): 774.</li>
<li>Böhmelt, Tobias, Lawrence Ezrow, Roni Lehrer, Petra Schleiter, and Hugh Ward. 2017. “Why Dominant Governing Parties Are Cross-Nationally Influential.” <em>International Studies Quarterly</em> 61 (4): 749–59.</li>
<li>Böhmelt, Tobias, Lawrence Ezrow, Roni Lehrer, and Hugh Ward. 2016. “Party Policy Diffusion.” <em>American Political Science Review</em> 110 (2): 397-410.</li>
<li>Castles, Francis G. 1998. <em>Comparative Public Policy: Patterns of Post-War Transformation</em>. Cheltenham: Elgar.</li>
<li>Grimmer, Justin, and Brandon M. Stewart. 2013. “Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts.” <em>Political Analysis</em> 21 (3): 267–97.</li>
<li>Huang, Anna. 2008. “Similarity Measures for Text Document Clustering.” In <em>Proceedings of the Sixth New Zealand Computer Science Research Student Conference (NZCSRSC2008)</em>, 49–56.</li>
<li>Le, Quoc V., and Mike Schuster. 2016. “A Neural Network for Machine Translation, at Production Scale.” <a href="https://ai.googleblog.com/2016/09/a-neural-network-for-machine.html" target="_blank">https://ai.googleblog.com/2016/09/a-neural-network-for-machine.html</a> (Last accessed February 13, 2019).</li>
<li>Lotz, Susan, and Alta van Rensburg. 2014. “Translation Technology Explored: Has a Three-Year Maturation Period Done Google Translate Any Good?” <em>Stellenbosch Papers in Linguistics Plus</em> 43: 235?59.</li>
<li>Lucas, Christopher, Richard A. Nielsen, Margaret E. Roberts, Brandon M. Stewart, Alex Storer, and Dustin Tingley. 2015. “Computer-Assisted Text Analysis for Comparative Politics.” <em>Political Analysis</em> 23 (2): 254–77.</li>
<li>Reber, Ueli. 2018. “Overcoming Language Barriers: Assessing the Potential of Machine Translation and Topic Modeling for the Comparative Analysis of Multilingual Text Corpora.” <em>Communication Methods and Measures</em> 3 (4): 1–24.</li>
<li>Vries, Erik de, Martijn Schoonvelde, and Gijs Schumacher. 2018. “No Longer Lost in Translation: Evidence that Google Translate Works for Comparative Bag-of-Words Text Applications.” <em>Political Analysis</em> 26 (4): 417–30.</li>
<li>Welbers, Kasper, Wouter van Atteveldt, and Kenneth Benoit. 2017. “Text Analysis in R.” <em>Communication Methods and Measures</em> 11 (4): 245–65.</li>
</ul>
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